Public Datasets

Description

These data were collected by Steve Borgatti, Russ Bernard, Bert Pelto and Gery Ryan at the 1992 NSF Summer Institute on Research Methods in Cultural Anthropology. This was a 3 week course given to 14 carefully selected participants. Network data were collected at the end of each week. These data were collected at the end of the second week. The data were collected by placing each person's name on a card and asking each respondent to sort the cards in order of how much interaction they had with that person since the beginning of the course (known informally as camp). This results in rank order data in which a 1 indicates the most interaction while a 17 indicates the least interaction.

File Downloads

• camp92.xml (DyNetML)

How to Cite:

Borgatti, S., Bernard, R., Pelto, B., & Ryan, G. (1992). Camp92 data set [Data set]. Retreived from https://sites.google.com/site/ucinetsoftware/datasets/camp92

Description

Describes a weighted, directed network representing the neural network of C. Elegans. The data were taken from the web site of Prof. Duncan Watts at Columbia University, http://cdg.columbia.edu/cdg/datasets. The nodes in the original data were not consecutively numbered, so they have been renumbered to be consecutive. The original node numbers from Watts' data file are retained as the labels of the nodes. Edge weights are the weights given by Watts.

File Downloads

• celegansneural.xml (Dynetml)

References

• J. G. White, E. Southgate, J. N. Thompson, and S. Brenner, The structure of the nervous system of the nematode C. Elegans, Phil. Trans. R. Soc. London 314, 1-340 (1986).
• D. J. Watts and S. H. Strogatz, Collective dynamics of `small-world' networks, Nature 393, 440-442 (1998).

How to Cite:

White J.G., Southgate E., Thompson J.N., and Brenner, S. (1986).The structure of the nervous system of the nematode C. Elegans. Phil. Trans. R. Soc., London 314, 1-340. Retrieved from http://cdg.columbia.edu/cdg/datasets.

Description

In 1979, Linton Freeman published a paper which defined several kinds of centrality. His typology has become the standard for network analysis. Freeman, however, was not the first to publish on centrality in networks. His paper is part of a discussion which dates back to the 1940s. The network shows the papers that discuss network centrality and their cross- references until 1979. Arcs represent citations; they point from the cited paper to the citing paper.

File Downloads

• centrality_literature.xml (DyNetML)

References

• Norman P. Hummon, Patrick Doreian, and Linton C. Freeman, Analyzing the structure of the centrality-productivity literature created between 1948 and 1979 (in: Science Communication, 11 (1990), 459-480).
• W. de Nooy, A. Mrvar, and V. Batagelj, Exploratory Social Network Analysis with Pajek (Cambridge: Cambridge University Press, 2004), Chapter 11.

How to Cite:

Hummon, N.P., Doreian, P., and Freeman, L.C. (1990). Analyzing the structure of the centrality-productivity literature created between 1948 and 1979. Science Communication, 11; 459-480. Retrieved from https://sites.google.com/site/ucinetsoftware/datasets/centralityliteraturenetwork

Description

This data consists of the distribution of offices for 46 'global' advanced producer service firms over 55 world cities. Global firms are defined by having offices in at least 15 different cities. World cities are from the GaWC inventory of world cities (see GaWC Research Bulletin 6). Service values for a firm in a city are given as 3, 2, 1 or 0 as defined in Data Set 4.

File Downloads

• cities.xml (DyNetML)

How to Cite:

ACKNOWLEDGEMENT: The data was created by P.J. Taylor and D.R.F. Walker as part of their project World City Network: Data Matrix Construction and Analysis and are based on primary data collected by J.V. Beaverstock, R.G. Smith and P.J. Taylor (ESRC project The Geographical Scope of London as a World City (R000222050)). They constitute Data Set 6 of the Globalization and World Cities (GaWC) Research Network http://www.lboro.ac.uk/gawc/ publication of inter-city data.

Description

Collaboration network of scientists posting preprints on the condensed matter archive at www.arxiv.org, 1995-1999, as compiled by M. Newman.

File Downloads

• cond-mat.xml (Dynetml)

References

• M. E. J. Newman, The structure of scientific collaboration networks, Proc. Natl. Acad. Sci. USA 98, 404-409 (2001).
• M. E. J. Newman, Scientific collaboration networks: I. Network construction and fundamental results, Phys. Rev. E 64, 016131 (2001).
• M. E. J. Newman, Scientific collaboration networks: II. Shortest paths, weighted networks, and centrality, Phys. Rev. E 64, 016132 (2001).

How to Cite:

Newman, M. E. J. (2001). The structure of scientific collaboration networks. Proc. Natl. Acad. Sci., 98;404-409. Retrieved from http://www-personal.umich.edu/~mejn/netdata/

Description

Updated version of cond-mat data set.

File Downloads

• cond-mat-2003.xml (Dynetml)

References

• M. E. J. Newman, Fast algorithm for detecting community structure in networks, Phys. Rev. E 69, 066133 (2004).

How to Cite:

Newman, M. E. J. (2004). Fast algorithm for detecting community structure in networks. Phys. Rev.,69; 066133. Retreived from http://www-personal.umich.edu/~mejn/netdata/

Description

Updated version of cond-mat data set.

File Downloads

• cond-mat-2005.xml (Dynetml)

References

• M. E. J. Newman, The structure of scientific collaboration networks, Proc. Natl. Acad. Sci. USA 98, 404-409 (2001).

How to Cite:

Newman, M. E. J. (2001). The structure of scientific collaboration networks. Proc. Natl. Acad. Sci., 98; 404-409. Retreived from http://www-personal.umich.edu/~mejn/netdata/

Description

Covert networks datasets (total of 41) compiled by the Mitchell Centre for Social Network Analysis, University of Manchester and funded by a grant from the Leverhulme Trust (RPG-2013-140) http://www.socialsciences.manchester.ac.uk/mitchell-centre/research/covert-networks

A covert network is a social network which has one or many elements of secrecy about it. Network members may try to keep their identities secret (as with criminal or terrorist organizations); the network may form around activities which have to be kept secret because they are illegal or dangerous (such as covert social movements like the Suffragettes), or for other reasons.

File downloads

• 17 November Greece Bombing

  The dataset refers to the 17 November Revolutionary Organixation, a Marxist urban guerrilla organization operating in Greece. The data refers to the specific temporal window which runs from 1975 to 2002. During these years the group has been responsible for several violent acts such as assassinations, kidnappings and symbolic attacks on government offices. The original file presents a distinction among several types of relationships: 1. Acquaintances/Distant family ties (interactions limited to radical organisation activities), 2. Friends/Moderately close family ties (interactions extend beyond radical organizations to include such categories as co-workers and roommates); Operational/Organisational leadership (i.e. JI leadership, formally or informally ranking members of burgeoning cells); Operational Ties (i.e. worked closely on a bombing together). 3. Close Friends/Family, Tight-knit operational cliques (would die for each other). If one of these three types of relationships was present, it has been coded with 1.
  File Downloads: greece.zip
  How to Cite: John Jay & ARTIS Transnational Terrorism Database (2016). 17 November Greece Bombing data set [Data set]. Retrieved from: http://doitapps.jjay.cuny.edu/jjatt/data.php.

• 9/11 Hijackers

  Famous dataset of the terrorists involved in the 9/11 bombing of the World Trade Centres in 2001. Data was extracted from news reports and ties range from at school with to on same plane. Ties are undirected and binary. Relations are a mix of prior-contacts like trained together, lived together, financial transactions, at school with, on same flight.
  Attribute codes:
  • Network Strength; 1 = Trusted Prior Contacts, 2 = Other Associates
  • Ties; 1 = AA #11 WTC North, 2 = AA #77 Pentagon, 3 = UA #93 Pennsylvania, 4 = UA #175 WTC South, 5 = Other Associates
  • Las Vegas Meeting; 1 = Attended, 0 = Did Not Attend
  
  File Downloads: 9_11_hijackers.xml (Dynetml)
  Reference: Krebs, Valdis E. Mapping networks of terrorist cells. Connections 24.3 (2002): 43-52.
  How to Cite: Krebs, Valdis E. (2002). Mapping networks of terrorist cells. Connections 24.3: 43-52. Retrieved from: http://firstmonday.org/ojs/index.php/fm/article/view/941/863#fig4.

• Australian Embassy Bombing, Indonesia 2004

  This is a time series that treat specific attacks as endpoints and depict the evolution of relations between individuals indirectly and directly associated with the Australian Embassy bombing. http://en.wikipedia.org/wiki/2004_Australian_Embassy_bombing_in_Jakarta. 1-mode stacked matrices 27 x 27 person by person. Data for 11 time periods plus kinship data. Undirected, valued ties.
  File Downloads: AE_INDO.zip
  How to Cite: John Jay & ARTIS Transnational Terrorism Database (2016). Austrailian Embassy Bombing data set [Data set]. Retrieved from: http://doitapps.jjay.cuny.edu/jjatt/data.php.

• Baerveldt Dutch Deliquents

  This data set is about the evolution of a friendship network and delinquent behavior of pupils in school classes, collected in the Dutch Social Behavior study, a two-wave survey in classrooms (Houtzager and Baerveldt, 1999). These data are from classrooms of the MAVO track, the lower middle level of the Dutch secondary school system, in which the pupils filled in a questionnaire in the 3d and 4th years, with about one year in between.
  File Downloads: dutch.xml (Dynetml)
  References:
  
  • Houtzager, B. & Baerveldt, C. (1999). Just like Normal. A Social Network Study of the Relation between Petty Crime and the Intimacy of Adolescent Friendships. Social Behavior and Personality 27(2), 177-192.
  • Snijders, Tom A.B, and Baerveldt, Chris (2003). A Multilevel Network Study of the Effects of Delinquent Behavior on Friendship Evolution. Journal of Mathematical Sociology 27, 123-151.
  • Chris Baerveldt, Beate Volker, and Ronan Van Rossem (2008). Revisiting selection and influence: an inquiry into the friendship networks of high school students and their association with delinquency. Canadian Journal of Criminology and Criminal Justice, 50, 559-587. http://dx.doi.org/10.3138/cjccj.50.5.559
  
  How to Cite: Houtzager, B. & Baerveldt, C. (1999). Just like Normal. A Social Network Study of the Relation between Petty Crime and the Intimacy of Adolescent Friendships. Social Behavior and Personality 27(2), 177-192. Retrieved from: https://www.stats.ox.ac.uk/~snijders/siena/BaerveldtData.html

• Bali Bombing 2002/Jemaah Islamiyah

  This is a time series that treat specific attacks as endpoints and depict the evolution of relations between individuals indirectly and directly associated with the 2002 Bali bombing by Jemaah Islamayah. http://en.wikipedia.org/wiki/2002_Bali_bombings. 1-mode stacked matrices 27 x 27 person by person, data for 11 time periods. Ties are undirected and valued. Tie codes: 0 = No relation; 1 = Acquaintances/distant family ties (interaction limited to radical organisation activities); 2 = Friends/Moderately close family (inc co-workers/ roommates) Operational/Org leadership/Operational lies (e.g. worked closely on a bombing together); 3 = Close friends/family, tight-knit operational cliques.
  File Downloads: bali2002.zip
  How to Cite:

• Bali Bombing 2005

  This is a time series that treat specific attacks as endpoints and depict the evolution of relations between individuals indirectly and directly associated with the 2005 Bali bombing by Jemaah Islamayah. http://en.wikipedia.org/wiki/2005_Bali_bombings 1-mode matrix 27 x 27 person by person, data for 11 time periods. Ties are undirected and valued. Tie codes: 0 = No relation; 1 = Acquaintances/distant family ties (interaction limited to radical organisation activities); 2 = Friends/Moderately close family (inc co-workers/ roommates) Operational/Org leadership/Operational lies (e.g. worked closely on a bombing together); 3 = Close friends/family, tight-knit operational cliques.
  File Downloads: bali2005.zip
  How to Cite:

• Baseball Steroid Use

  When the Mitchell Report on steroid use in Major League Baseball [MLB], was published people were surprised at both the number and names of those who were mentioned. The dataset was created from data found in the Mitchell Report. Baseball players are shown as green nodes. Those who were found to be providers of steroids and other illegal performance enhancing substances appear as red nodes. The links reveal the flow of chemicals -- from providers to players. See http://orgnet.com/steroids.html
  File Downloads: baseball.zip
  How to Cite: Mitchell, George J. (2007). Mitchell Report: Report to the Commissioner of Baseball of an Independent Investigation into the Illegal use of Steroids and Other Performance Enhancing Substances by Players in Major League Baseball. Retreived from: http://orgnet.com/steroids.html.

• Big Allied and Dangerous (BAAD)

  The Big Allied And Dangerous (BAAD) project focuses on creation and maintenance of a comprehensive database of terrorist organizational characteristics. This project has created two datasets. The first, BAAD Version 1.0 (BAAD1) contains a single snapshot of 395 terrorist organizations active (meaning they perpetrated at least one attack) between 1998-2005. This dataset grew from the information originally hosted by the Memorial Institute for the Prevention of Terrorism's (MIPT) in their Terrorism Knowledge Base (TKB). BAAD1 improved and extended the data available from MIPT through independent verification and coding efforts. The dataset includes both case-by-variables information on each organization and network data. The case-by-variables dataset is available for download currently. The network data will be available for download during the second quarter of 2010. Big Allied and Dangerous, Version 2.0 (BAAD2) seeks to improve upon BAAD1 in multiple ways by (1) providing time series data in yearly slices, (2) expanding the time period forward through 2007, and (3) increasing the number and depth of variables collected and coded. BAAD2 is made up of two major components. The first is the data on organizational variables. These variables include: group name, aliases, homebase, ideology, size, age, structure, financial support, electoral involvement, leadership loss, territorial control, CBRN pursuit or use, and number of incidents, injuries, and fatalities. The second component is the social network data, which characterizes relations between terrorist organizations as well as between countries and terrorist organizations. Relationships are coded for categories such as: suspected ally, ally, faction, splinter group, rival, enemy, target, and state sponsor. This data can then be used to create dynamic network visualizations to show the networks evolving over the 10 years included in the dataset. Data construction for BAAD2 is currently ongoing.
  File Downloads: baad.zip
  References: Asal, Victor H. and R. Karl Rethemeyer. (2008). The Nature of the Beast: Terrorist Organizational Characteristics and Organizational Lethality. Journal of Politics, 70(2): 437-449.
  How to Cite: Asal, Victor H. and R. Karl Rethemeyer. (2008). The Nature of the Beast: Terrorist Organizational Characteristics and Organizational Lethality. Journal of Politics, 70(2): 437-449. Retreived from: http://www.albany.edu/pvc/data.shtml.

• Caviar

  Project Caviar was a unique investigation that targeted a network of hashish and cocaine importers operating out of Montreal. The network was targeted between 1994 and 1996 by a tandem investigation uniting the Montreal Police, the Royal Canadian Mounted Police, and other national and regional law-enforcement agencies from various countries (i.e., England, Spain, Italy, Brazil, Paraguay, and Colombia). The case is unique because it involved a specific investigative approach that will be referred to as a seize and wait strategy. Unlike most law-enforcement strategies, the mandate set forward in the Project Caviar case was to seize identified drug consignments, but not to arrest any of the identified participants. This took place over a 2-year period. Thus, although 11 importation consignments were seized at different moments throughout this period, arrests only took place at the end of the investigation. What this case offers is a rare opportunity to study the evolution of a criminal network phenomenon as it was being disrupted by law-enforcement agents. The inherent investigative strategy permits an assessment of change in the network structure and an inside look into how network participants react and adapt to the growing constraints set upon them. The principal data source was comprised of information submitted as evidence during the trials of 22 participants in the Caviar network. It included 4,279 paragraphs of information (over 1,000 pages) revealing electronically intercepted telephone conversations between network participants. These transcripts were used to create the overall matrix of the drug-trafficking operation's communication system throughout the course of the investigation. Individuals falling in the surveillance net were not all participants in the trafficking operation. An initial extraction of all names appearing in the surveillance data led to the identification of 318 individuals. From this pool, 208 individuals were not implicated in the trafficking operations. Most were simply named during the many transcripts of conversations, but never detected. Others who were detected had no clear participatory role within the network (e.g., family members or legitimate entrepreneurs). The final network was thus composed of 110 participants. Ties are communication exchanges between criminals. Values represent level of communication activity. Data comes from police wiretapping.
  File Downloads: caviar.zip
  References: Morselli, C., 2009. Inside criminal networks. New York: Springer.
  How to Cite: Morselli, C. (2009). Inside criminal networks. New York: Springer. Available from: http://www.springer.com/social+sciences/criminology/book/978-0-387-09525-7.

• Christmas Eve Bombings Indonesia 2000

  This is a time series that treat specific attacks as endpoints and depict the evolution of relations between individuals indirectly and directly associated with the 2000 Christmas Eve bombing. DATA: 1-mode stacked matrices 27 x 27 person by person. Data for 11 time periods plus kinship data. Undirected, valued ties. Tie value codes for kinship matrix: 0 = No Kinship // 1 = In-laws // 2 = Cousins // 3 = Sibling // 4 = Parent/Child // 5 = Married // 6 = Grandparent/Child // 7 = Significant Other
  Tie value codes for time series matrices: 0 = No relation // 1 = Acquaintances/distant family ties (interaction limited to radical organisation activities) // 2 = Friends/Moderately close family (inc co-workers/ roommates) Operational/Org leadership/Operational lies (e.g. worked closely on a bombing together) // 3 = Close friends/family, tight-knit operational cliques http://en.wikipedia.org/wiki/Christmas_Eve_2000_Indonesia_bombings
  File Downloads: christmas.zip
  How to Cite: John Jay & ARTIS Transnational Terrorism Database (2000). Christmas Eve Bombings Indonesia [Data set]. Retrieved from: http://doitapps.jjay.cuny.edu/jjatt/data.php.

• CielNet

  Project Ciel is based on a small drug-importation network that was importing liquid hashish from Jamaica to Montreal. This network was targeted by the Royal Canadian Mounted Police and the Montreal Police from May 1996 to June 1997. Typical of many Canadian investigations of drug smuggling and trafficking, the operations in Project Ciel were described as taking place within a tightly governed organizational framework hierarchy, in short. Reports from the investigation maintained that the main target of the investigation was the organizational leader. Other key targets included the leaders lieutenant and a series of other subordinates. The investigation produced three separate seizures, with two taking place at Mirabel airport near Montreal and another occurring at Sangster airport in Jamaica. Overall, 75 people fell into the surveillance net. A selection process that was aimed at identifying only those individuals who were active in the drug-importation operations resulted in a final network of 25 participants.
  File Downloads: cielnet.zip
  References: Morselli, C., 2009. Inside criminal networks. New York: Springer.
  How to Cite: Morselli, C. (2009) Inside criminal networks. New York: Springer. Retrieved from: https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/cielnet.

• Cocaine Dealing Natarajan

  This dataset comes from an investigation into to a large cocaine trafficking organization in New York City. DATA: 1-mode matrix 28 x 28 persons by persons. Directed binary relations are communications exchanges / flows of information. Data come from police wiretappings (transcripts of 151 telephone conversations).
  File Downloads: dealing.zip
  References: Natarajan, M. (2006). Understanding the Structure of a Large Heroin Distribution Network: A Quantitative Analysis of Qualitative Data. Quantitative Journal of Criminology, 22(2), 171-192.
  How to Cite: Natarajan, M. (2006). Understanding the Structure of a Large Heroin Distribution Network: A Quantitative Analysis of Qualitative Data. Quantitative Journal of Criminology, 22(2), 171-192. Retrieved from: https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/cocainedealingnatarajan.

• Cocaine Smuggling

  Data refers to four groups involved in cocaine trafficking in Spain. Information comes from police wiretapping and meetings registered by police investigations of these criminal organisations between 2007 and 2009. Operation MAMBO (N=22). The investigation started in 2006 and involved Colombian citizens that were introducing 50 kg of cocaine to be adulterated and distributed in Madrid (Spain). Ultimately, the group was involved in smuggling cocaine from Colombia through Brazil and Uruguay to be distributed in Spain. This is a typical Spanish middle cocaine group acting as wholesale supplier between a South American importer group and retailers in Madrid. Operation JUANES (N=51). In 2009, the police investigation detected a group involved in the smuggling of cocaine from Mexico to be distributed in Madrid (Spain). In this case, the group operated in close cooperation with another organization that was laundering the illegal income from drug distribution from this and other groups. The cocaine traffickers earned an estimated EUR 60 million. Operation JAKE (N=62). In 2008, the group investigated was operating as a wholesale supplier and retail distributor of cocaine and heroin in a large distribution zone located in Madrid (Spain), where gypsy clans traditionally carry out similar activities. The group was in charge of acquiring, manipulating and selling the drugs in the gypsy quarter. Operation ACERO (N=11). This investigation started in 2007 and involved a smaller family-based group. The group was composed mainly of members of a same family and was led by a female. They distributed cocaine in Madrid (Spain) that was provided to them by other groups based in a northwest region of the country, one of the most active areas in the provision of cocaine from the countries of origin. The group also had their own procedures to launder money.
  File Downloads: smuggling.zip
  References: Jimenez-Salinas Framis, A. Illegal networks or criminal organizations: Power, roles and facilitators in four cocaine trafficking structures. In Third Annual Illicit Networks Workshop, Montreal. 2011.
  How to Cite: Jimenez-Salinas Framis, A. (2011). Illegal networks or criminal organizations: Power, roles and facilitators in four cocaine trafficking structures. In Third Annual Illicit Networks Workshop, Montreal. 2011. Retrieved from: https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/cocainesmuggling.

• Czech Corruption

  The data comes from a Czech media database called Newton Media Search and involves all major Czech newspapers for the period from 4th June 2013 to 4th June 2014. DATA: 1-mode matrix 16 x 16 person by person. The ties are co-appearances every time an actor was mentioned in one article together with any other actor, it is considered to be a tie. Ties are valued on am 11 point scale, where 10 is the strongest tie (Nagyova - Necas). All other ties were transformed by dividing the total number of co-appearances between the two actors by the value of the strongest tie, which gave the percent of the maximal tie. This percentage was then assigned an integer value from range 0 - 9 according to which tenth of percents this particular value falls into.
  File Downloads: czech.zip
  How to Cite: Diviák, Tomas (2014). Czech Corruption data set [Data Set]. Retrieved from: https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/czechcorruption.

• Domestic Terrorist Web Links

  Network of hyperlinks between domestic terrorist group websites in the United States.
  File Downloads: weblinks.zip
  How to Cite: Zhou et al. (2005). US domestic extremist groups on the web: link and content analysis. Retrieved from: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=1511999&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D1511999.
  

• Global Suicide Attacks

  Data is on militant organizations between 1985 and 2006. Each node signifies a militant organization or other type of entity that conducts suicide attacks.
  File Downloads: suicide.zip
  References: Benjamin Acosta & Steven J. Childs (2013) Illuminating the Global Suicide-Attack Network, Studies in Conflict & Terrorism, 36:1, 49-76
  How to Cite: Acosta, Benjamin & Childs, Steven J. (2013) Illuminating the Global Suicide-Attack Network, Studies in Conflict & Terrorism, 36:1, 49-76. Retrieved from: https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/globalsuicideattacks.

• Hamburg Cell 9/11 2001

  This is a time series that treat specific attacks as endpoints and depict the evolution of relations between individuals indirectly and directly associated with the sleeper Al Qaeda cell in Hamburg around the time of the 9/11 bombings. http://en.wikipedia.org/wiki/Hamburg_cell
  File Downloads: hamburg.zip
  How to Cite: John Jay & ARTIS Transnational Terrorism Database (2001). Hamburg Cell 9/11 [Data set]. Retrieved from: http://doitapps.jjay.cuny.edu/jjatt/data.php.

• Heroin Dealing Natarajan

  This dataset comes from an investigation into a large heroin trafficking organization in New York City in the 1990s. Directed binary relations are communications exchanges / flows of information. Data come from police wiretappings (transcripts of 151 telephone conversations).
  File Downloads: heroin.zip
  How to Cite:Available from Manchester. Reconstructed from Natarajan, M. (2006). Understanding the Structure of a Large Heroin Distribution Network: A Quantitative Analysis of Qualitative Data. Quantitative Journal of Criminology, 22(2), 171-192.

• Islamic State Allegiances

  2-mode dataset describing groups allied to Islamic State and the countries in which they are operating. 2-mode matrix 47 x 20 organizations by state, undirected binary ties.
  File Downloads: allegiances.zip
  How to Cite: Availble from: https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/islamicstateallegiances.

• Islamic State Group

  The data describes relationships between members of the Islamic State supplied to the BBC by IS investigation team. The data includes three matrices with three types of relationships.
  File Downloads: islamicgroup.zip
  How to Cite: UK paying experts to build Islamic State war crimes case, BBC News, September 3, 2014. Available from: http://www.bbc.co.uk/news/world-middle-east-29052475.

• Italian Gangs

  Describes Italian gang members and their nationalities. No further contextual data available. 1-Mode matrix 67x67 person by person, relations are co-membership of gangs. Attribute data is gang member's country of origin, coded numerically. No codebook available.
  File Downloads: italiangangs.zip
  

• Jakarta Bombing 2009 / Noordin Top

  This is a time series that treat specific attacks as endpoints and depict the evolution of relations between individuals indirectly and directly associated with the 2009 Jakarta bombing. http://en.wikipedia.org/wiki/2009_Jakarta_bombings. This network draws on the same terrorist activities as the Noordin Top network. DATA: 1-mode stacked matrices, 28 x 28 person by person, data for kinship, pre-attack and post-attack. Ties undirected and valued.
  File Downloads: jakarta2009.zip
  How to Cite: John Jay & ARTIS Transnational Terrorism Database (2009). Jakarta Bombing 2009 [Data set]. Retrieved from: http://doitapps.jjay.cuny.edu/jjatt/data.php.

• Linux Terrorists

  These are two datasets about a set of terrorists and the attacks they carry out collected by the MIND Lab at University of Maryland (UMD) (http://www.mindswap.org/). NETWORK DATA: 1-mode matrix 645 x 645 organization by organization, directed ties. Ties are co-location of terrorist attacks. 1-mode matrix 260 x 260 organization by organization, directed ties. Ties are co-located terrorist attacks by same organization.
  File Downloads: linux.zip
  How to Cite: University of Maryland, MIND lab. Linux Terrorists [Data set]. Retrieved from: http://www.mindlab.umd.edu/index.shtml.

• London Gang

  Data is on co-offending in a London-based inner-city street gang, 2005-2009, operating from a social housing estate. Data comes from anonymised police arrest and conviction data for all confirmed members of the gang. 1-Mode matrix 54 x 54 persons by persons, undirected, valued. Network tie values:1 (hang out together); 2 (co-offend together); 3 (co-offend together, serious crime); 4 (co-offend together, serious crime, kin).Attributes: Age, Birthplace (1 = West Africa, 2= Caribbean, 3= UK, 4= East Africa), Residence, Arrests, Convictions, Prison, Music.
  File Downloads: london.zip
  How to Cite: Grund, T. and Densley, J. (2015) Ethnic Homophily and Triad Closure: Mapping Internal Gang Structure Using Exponential Random Graph Models. Journal of Contemporary Criminal Justice, Vol. 31, Issue 3, pp. 354-370

• Madoff Fraud

  Bernie Madoff was involved in a massive financial fraud in the USA and was sentenced to 150 years in prison (http://en.wikipedia.org/wiki/Bernard_Madoff). The network is finance flows between financial institutions and Madoff's firm. All data for this network was gathered from news stories and court documents found on major media web sites. Read more about the social network underpinnings of this scheme in The Network Thinkers blog post (http://www.thenetworkthinkers.com/2009/02/madoff-feeder-funds.html). Relations are money flows. Arrows show direction of money flow. DATA: 1-mode directed network 61 x 61 firm by firm, showing money flows between banks and other organizations, leading ultimately to Madoff's firm.
  File Downloads: madoff.zip
  How to Cite: OrgNet. Madoff Fraud [Data set]. Retrieved from: http://orgnet.com/Madoff9.png.

• Madrid Train Bombing 2004

  This is a time series that treat specific attacks as endpoints and depict the evolution of relations between individuals indirectly and directly associated with the Madrid train bombing. http://en.wikipedia.org/wiki/2004_Madrid_train_bombings
  File Downloads: madrid.zip
  How to Cite: John Jay & ARTIS Transnational Terrorism Database (2004). Madrid Train Bombing 2004 [Data set]. Retrieved from: http://doitapps.jjay.cuny.edu/jjatt/data.php.

• Mali Terrorist Network

  Data refers to a terrorist network operating in the Sahel Sahel-Sahara region and describes relationships between Islamists and Tuareg rebels during the Malian conflict. Data comes from a selection of newspaper articles published between 2010 and 2012. Using social network analysis, our first aim is to illuminate the relationships between the Islamists and the rebels involved in the current Malian conflict. We use a selection of newspaper articles to demonstrate that the connection between Islamists and rebels depends on brokers who passed from the Tuareg rebellion to radical groups. Our second objective is to detail the internal relationships within each of the subgroups. Our findings show how Islamists were affected by the accidental disappearance of one the AQMI regional emirs and how the death of one of the architects of the Tuareg rebellion affected rebel cohesion. Walther et al., INSNA Sunbelt Conference 2013. Relations derived from interactions, including participation in political or military event, political meetings; trainings in Afghanistan, Iraq, or Libya; combats; negotiations for hostage releases; or involvements with a killing, an abduction, or a bombing.
  File Downloads: mali.zip
  How to Cite: Walther, Olivier J., and Dimitris Christopoulos (2015), Islamic terrorism and the Malian rebellion. Terrorism and Political Violence, 27 (3), 497-519.

• Montreal Street Gangs

  Data obtained from the Montreal Police's central intelligence base, the Automated Criminal Intelligence Information System (ACIIS), was used to reconstruct the organization of drug-distribution operations in Montreal North. These operations were targeted during three separate investigations between 2004 and 2007 by the Montreal Police, who believed that the criminal activities were under the control of one of the more reputed gangs in Montreal - the Bo-Gars (or Handsome Boys, in English). Because the trials extending from two of the investigations were still ongoing at the time of analysis, their names remain confidential and I simply refer to Investigations A, B, and C. Investigation A began in February 2004 and ended in April 2005, with the arrests of 27 individuals who were accused primarily of importing and distributing crack and cocaine in a Montreal North neighborhood. Investigation A was the largest of the three investigations under study and it was the only case to offer electronic surveillance information amongst the available data sources. Investigations B and C, which were direct extensions of observations made during Investigation A, both began during the fall of 2006 and ended in June 2007, with the arrests of 24 individuals who were targeted in Investigation B and 11 individuals targeted in Investigation C. Investigation B concentrated on street dealers of marijuana and crack, while Investigation C focused specifically on the activities of a group of wholesalers who were supplying some of the dealers targeted in Investigation B. Overall, 101 individuals were monitored during the investigations-45 in Investigation A, 30 in Investigation B, and 26 in Investigation C. This list of 101 individuals was used as a starting point to reconstruct the final network. This final network was comprised of 70 participants and was based on information obtained from three data sources. Ties are relationships between gangs (as reported in focus groups/interviews with gang members).
  File Downloads: montreal.zip
  How to Cite: Karine Descormiers and Carlo Morselli (2011) Alliances, Conflicts, and Contradictions in Montreal's Street Gang Landscape International Criminal Justice Review, Vol. 1 No. 3, pp. 297-314.

• Ndrangheta Mafia 2

  Data is on attendance of suspected members of the Ndrangheta criminal organization at summits (meetings whose purpose is to make important decisions and/or affiliations, but also to solve internal problems and to establish roles and powers) taking place between 2007 and 2009. Attendance at events have been registered by police authorities through wiretapping and observations during the large investigation called Operazione Infinito.
  File Downloads: ndrangheta.zip
  How to Cite: The data has been reconstructed by the document ORDINANZA DI APPLICAZIONE DI MISURA COERCITIVA con mandato di cattura - art. 292 c.p.p. which is available online at the following address http://www.stampoantimafioso.it/documentazione-antimafia/ordinanze/.

• Noordin Top

  These data were drawn primarily from Terrorism in Indonesia: Noordin's Networks, a publication of the International Crisis Group (2006) and include relational data on the 79 individuals listed in Appendix C of that publication. The data were initially coded by Naval Postgraduate School students as part of the course Tracking and Disrupting Dark Networks under the direction of Professor Sean Everton, Co-Director of the CORE Lab, and Professor Nancy Roberts. CORE Lab Research Assistant Daniel Cunningham reviewed and cleaned all coding made by students. Ties include classmates; friendship; soulmates; co-location of logistical activity; co-attendance at meetings; co-participation in operations; co-attendance at training events; communications; business & financial ties.
  File Downloads: noordintop.zip
  How to Cite: Roberts, Nancy and Sean F. Everton (2011), Roberts and Everton Terrorist Data: Noordin Top Terrorist Network (Subset). Retrieved from https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/noordintop.

• Paul Revere

  The Paul Revere conspiracy dataset concerns relationships between 254 people and their affiliations with seven different organizations in Boston. The dataset refers to Paul Revere, who was responsible for organizing a local militia of Boston's revolutionary movement (see http://en.wikipedia.org/wiki/Sons_of_Liberty). The dataset was analysed by Kieran Healy of Duke University. This dataset has been reconstructed by looking at the information presented in the appendix of the book Paul Revere's Ride published by David Fischer (1994).
  File Downloads: paulrevere.zip
  How to Cite: Fischer, D. (1994), Paul Revere's ride, Oxford University Press. Retrieved from: http://kieranhealy.org/blog/archives/2013/06/09/using-metadata-to-find-paul-revere/.

• Philippine Kidnappings

  Data refers to the Abu Sayyaf Group (ASG), a violent non-state actor operating in the Southern Philippines. In particular, this data is related to the Salast movement that has been founded by Aburajak Janjalani, a native terrorist of the Southern Philippines in 1991. ASG is active in kidnapping and other kinds of terrorist attacks (Gerdes et al. 2014). The reconstructed 2-mode matrix combines terrorist kidnappers and the terrorist events they have attended.
  File Downloads: kidnappings.zip
  How to Cite: Gerdes, Luke M., Kristine Ringler, and Barbara Autin (2014). Assessing the Abu Sayyaf Group's Strategic and Learning Capacities. Studies in Conflict & Terrorism 37, no. 3: 267-293. Retreived from: http://www.tandfonline.com/eprint/cCV3RJihmG3miPFECpV7/full.

• Philippines Bombing

  This is a time series that treat specific attacks as endpoints and depict the evolution of relations between individuals indirectly and directly associated with the Philippines bombing http://en.wikipedia.org/wiki/Rizal_Day_bombings. DATA: 1-mode stacked matrices 16 x 16 person by person nodes, data on 11 time periods plus kinship data and tie extinguished data.
  File Downloads: philippines_bombing.zip
  How to Cite: John Jay & ARTIS Transnational Terrorism Database (2000). Phillippines Bombing [Data set]. Retrieved from: http://doitapps.jjay.cuny.edu/jjatt/data.php..

• Provisional Irish Republican Army

  Data is on active Provisional IRA (hereafter PIRA) members between 1970 and 1998. Data collected at the International Center for the Study of Terrorism, Pennsylvania State University. From this data are derived network structures and the nature of dependence within them. The PIRA network comprises the following four types of relationships: (1) involvement in a PIRA activity together, (2) friends before joining PIRA movement, (3) blood relatives, and (4) related through marriage. We treated each relation as a tie and coded whether a tie exists between two members or not. Thus, the networks have, conceptually and technically, binary and symmetric relations between members. Data also includes sociological information of members, such as gender, age, marital status, recruiting age, education (that is, attending university), brigade memberships, non-/violent characteristics, role-related characteristics - senior leader, IED constructor, IED planter, and gunman-and task-related characteristics (that is, foreign operation tasks, and involvement in bank robbery, kidnapping, hijacking, and drugs).
  File Downloads: irish_army.zip
  How to Cite: Paul Gill , Jeongyoon Lee , Karl R. Rethemeyer , John Horgan & Victor Asal (2014) Lethal Connections: The Determinants of Network Connections in the Provisional Irish Republican Army, 1970 – 1998, International Interactions: Empirical and Theoretical Research in International Relations, 40:1, 52-78.

• Rhodes Bombing

  Data is a social network of the (believed defunct) Greek terrorist group November17 (N17) that was derived from open source reporting (Irwin et al, 2002; Abram and Smith, 2004).
  File Downloads: rhodes.zip
  How to Cite: Rhodes, C.J. and P. Jones, Inferring Missing Links in Partially Observed Social Networks, Journal of the Operational Research Society (2009) 60, 1373-1383.

• Saxena Terror India

  Data is organisation-to-organisation links of terrorist organisations operating in the Indian State of Jammu & Kashmir.
  File Downloads: saxena.zip
  How to Cite: Sudhir Saxena, K. Santhanam, Aparna Basu (2004), Application of social network analysis (SNA) to terrorist networks in Jammu & Kashmir, Strategic Analysis 28(1).

• Siren

  Project Siren began in February 1998 when a port worker informed members of the CERVO group that a container of stolen vehicles had been recently shipped to Ghana. This shipment was subsequently seized at its transit point in Anvers, Belgium. This initial tip and action led to a close monitoring of the suspects involved in the shipment. The investigation continued for 4 months (to June 1998), during which time CERVO members monitored stolen-vehicle shipments intended for Russia, Egypt, Iraq, Italy, and Switzerland. Some vehicles were also resold in Toronto. Overall, 35 cars were retrieved according to the files that were consulted.
  File Downloads: siren.zip
  How to Cite: Morselli, C., 2009. Inside criminal networks. New York: Springer. Retrieved From: https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/siren.

• Slumlords

  A client of [orgnet] -- a small, not-for-profit, economic justice organization [EJO] -- used social network analysis [SNA] to assist their city attorney in convicting a group of slumlords of various housing violations that the real estate investors had been side-stepping for years. The housing violations, in multiple buildings, included raw sewage leaks, multiple tenant children with high lead levels, eviction of complaining tenants, utility liens of six figures.
  File Downloads: slumlords.zip
  How to Cite: OrgNet. Slumlords [Data set]. Retrieved from: http://www.orgnet.com/slumlords.html.

• Southeast Asian Aggregated Attacks 2005

  The Southeast Asian Aggregate Attack Series collapses all of the individual, Indonesian cases into a single series of relations useful for inspecting a series of behavioural and compositional changes in one terrorist network. DATA: 1-mode stacked matrices 109x109 person by person. Kinship, friendship, acquaintanceship, time series, tie formed, tie ended.
  File Downloads: asian_attacks_05.zip
  How to Cite: John Jay & ARTIS Transnational Terrorism Database (2005). Southeast Asian Aggregated Attacks 2005 [Data set]. Retrieved from: http://doitapps.jjay.cuny.edu/jjatt/data.php.

• Suffragettes

  Dataset collected by Gemma Edwards on the Suffragette movement in the UK. Relational data were constructed from historical archives, including suffragette letters and speeches, and secondary sources like published auto-biographies and newspaper accounts. This historical material provided not only relational data for quantitative network analysis about the structure of these networks, but rich, narrative accounts about the meaning of ties over time and the perception of the network from those within it. Using historical letters as a source of data on suffragette networks was seen as particularly useful for example, as letters contained relational data in terms of 'who was writing to whom', and writers would further 'talk their ties' within the course of letter writing. Also, letters tend to be dated, allowing for an analysis of the evolution of ties over time (Edwards and Crossley 2009).
  File Downloads: suffragettes.zip
  References:
  
  • Edwards, Gemma. Infectious innovations? The diffusion of tactical innovation in social movement networks, the case of suffragette militancy. Social Movement Studies 13.1 (2014): 48-69.
  • Edwards, Gemma. Social Movements and Protest. Cambridge University Press, 2014.
  • Crossley, Nick, et al. Covert social movement networks and the secrecy-efficiency trade off: The case of the UK suffragettes (1906–1914). Social Networks 34.4 (2012): 634-644.
  How to Cite: Edwards, G. and Crossley, N. (2009). Measures and meanings: exploring the ego-net of Helen Kirkpatrick Watts, militant suffragette. Methodological Innovations Online 4.1: 37-61. Retrieved from: http://eprints.ncrm.ac.uk/842/1/Social_Network_analysis_Edwards.pdf.
  

• Swingers

  Data on couples attending swinging parties. Swing units are a couple attending events with other swing units.
  File Downloads: swingers.zip
  How to Cite: Anne-Marie Niekamp. swingers data set [Data set]. Retrieved from: https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/swingers.

• Togo

  Project Togo began in February 1998 when a Toronto-based ringing operation was dismantled and one of its participants informed the police that he was previously employed by a Montreal businessman who was also active in the resale of stolen vehicles. This initial tip was corroborated soon after by a thief who had been arrested while driving a stolen vehicle. By December 1998, the Togo investigation was under way. It spanned into February 1999 and 20 cars that were destined for France, Ghana, and local buyers in southern Quebec were retrieved.
  File Downloads: togo.zip
  How to Cite:Morselli, C., 2009. Inside criminal networks. New York: Springer. Retrieved From: https://sites.google.com/site/ucinetsoftware/datasets/covert-networks/togo.

Source/Availability:

Available from Manchester or here https://sites.google.com/site/ucinetsoftware/datasets

Description

The network contains the ties between Ph.D. students and their advisors in theoretical computer science; each arc points from an advisor to a student. The partition contains the (estimated) year in which the Ph.D. was obtained.

File Downloads

• csphd.xml (DyNetML)

References

• D. S. Johnson, The Genealogy of Theoretical Computer Science, SIGACT News, Vol. 16, No. 2, pp. 36-44, 1984. Reprinted in Bulletin of the EATCS, No. 25, pp. 198-211, 1985.
• W. de Nooy, A. Mrvar, & V. Batagelj, Exploratory Social Network Analysis with Pajek (Cambridge: Cambridge University Press, 2004), Chapter 11.

How to Cite:

D. S. Johnson, The Genealogy of Theoretical Computer Science, SIGACT News, Vol. 16, No. 2, pp. 36-44, 1984. Reprinted in Bulletin of the EATCS, No. 25, pp. 198-211, 1985.

Description

These data were collected by Davis et al in the 1930s. They represent observed attendance at 14 social events by 18 Southern women. The result is a person-by-event matrix: cell (i,j) is 1 if person i attended social event j, and 0 otherwise.

File Downloads

• davis.xml (DyNetML)

References

• Breiger R. (1974). The duality of persons and groups. Social Forces, 53, 181-190.
• Davis, A et al. (1941). Deep South. Chicago: University of Chicago Press.

How to Cite:

Davis, A et al. (1941). Deep South. Chicago: University of Chicago Press. Retrieved From: https://sites.google.com/site/ucinetsoftware/datasets/davissouthernclubwomen.

Description

A network of common adjective and noun adjacencies for the novel "David Copperfield" by Charles Dickens, as described by M. Newman. Nodes represent the most commonly occurring adjectives and nouns in the book. Edges connect any pair of words that occur in adjacent position in the text of the book.

File Downloads

• adj_noun.xml (Dynetml)

References

• E. J. Newman, Finding community structure in networks using the eigenvectors of matrices, Preprint physics/0605087 (2006).

How to Cite:

E. J. Newman (2006). Finding community structure in networks using the eigenvectors of matrices. Preprint physics, 0605087. Retrieved From: http://www-personal.umich.edu/~mejn/netdata/.

Description

Dining-table partners in a dormitory at a New York State Training School.

File Downloads

• dining.xml (DyNetML)

References

• The network was coded from a sociogram published in J.L. Moreno, The Sociometry Reader. Glencoe (Ill.), The Free Press, 1960, p. 35.
• W. de Nooy, A. Mrvar, & V. Batagelj, Exploratory Social Network Analysis with Pajek (Cambridge: Cambridge University Press, 2004), Chapter 1.

How to Cite:

J. L. Moreno (1960). The Sociometry Reader. The Free Press, Glencoe, Illinois, pg.35. Retrieved from: https://sites.google.com/site/ucinetsoftware/datasets/dining-tablepartnersinadormitoryatanewyorkstatetrainingschool.

Description

An undirected social network of frequent associations between 62 dolphins in a community living off Doubtful Sound, New Zealand, as compiled by Lusseau et al. (2003).

File Downloads

• dolphins.xml (Dynetml)

References

• D. Lusseau, K. Schneider, O. J. Boisseau, P. Haase, E. Slooten, and S. M. Dawson, The bottlenose dolphin community of Doubtful Sound features a large proportion of long-lasting associations, Behavioral Ecology and Sociobiology 54, 396-405 (2003).

How to Cite:

D. Lusseau, K. Schneider, O. J. Boisseau, P. Haase, E. Slooten, and S. M. Dawson, The bottlenose dolphin community of Doubtful Sound features a large proportion of long-lasting associations, Behavioral Ecology and Sociobiology 54, 396-405 (2003). Retrieved from: http://www-personal.umich.edu/~mejn/netdata/.

Description

This is a dichotomous adjacency matrix of drug users in Hartford. Ties are directed and represent the lending of drug needles. The network is a result of two years of ethnographic observations of people's drug habits. Data description: 1-mode matrix 293x293 person by person, directed ties. Relations are needle sharing. Attribute dataset includes ethnicity, gender.

File Downloads

• drug_net.xml (DyNetML)

References

• Weeks, M. R., Clair, S., Borgatti, S. P., Radda, K. & Schensul, J. J. 2002. Social networks of drug users in high-risk sites: Finding the connections. AIDS and Behaviour, 6, 193-206.

How to Cite:

Weeks, M. R., Clair, S., Borgatti, S. P., Radda, K. & Schensul, J. J. (2002). Social networks of drug users in high-risk sites: Finding the connections. AIDS and Behaviour, 6, 193-206. Retrieved from: https://sites.google.com/site/sfeverton18/research/cohesion-and-clustering.

Description

This is a communication network within a small enterprise: a sawmill. All employees were asked to indicate the frequency with which they discussed work matters with each of their colleagues on a five-point scale ranging from less than once a week to several times a day. Two employees were linked in the communication network if they rated their contact as three or more. We do not know whether both employees had to rate their tie in this way or that at least one employee had to indicate a strength of three or more.

In the sawmill, the employees are Spanish-speaking (H) or English- speaking (E), which, of course, is relevant to their communication. The sawmill contains two main sections: the mill (M), where tree trunks are sawn into logs, and the planer section (P), where logs are planed. Then there is a yard (Y) where two employees are working, and some managers and additional officials. Vertex labels indicate the ethnicity and the type of work of each employee, e.g. HP-10 is an Hispanic (H) working in the planer section (P).

File Downloads

• korea.zip (DyNetML)

References

E.M. Rogers & D.L. Kincaid, Communication Networks. Toward a New Paradigm for Research (New York: The Free Press, 1981).
W. de Nooy, A. Mrvar, & V. Batagelj, Exploratory Social Network Analysis with Pajek (Cambridge: Cambridge University Press, 2004), Chapter 6.

How to Cite:

E.M. Rogers & D.L. Kincaid, (1981). Toward a New Paradigm for Research. Communication Networks New York: The Free Press. Retrieved from: https://sites.google.com/site/ucinetsoftware/datasets/familyplanninginkorea.

Description

In 1943, Leslie D. Zeleny administered a sociometric test to 48 cadet pilots at an US Army Air Forces flying school. Cadets were trained to fly a two- seated aircraft, taking turns in flying and aerial observing. Cadets were assigned to instruction groups ranging in size from 5 to 7 at random, so they had little or no control over who their flying partners would be. The sociometric test was used to improve the composition of instruction groups. Zeleny asked each cadet to name the members of his flight group with whom he would like to fly as well as those with whom he would not like to fly.

File Downloads

• Flying_teams.xml (DyNetML)

References

• J. L . Moreno (et al.), The Sociometry Reader (Glencoe (Illinois): The Free Press, 1960, p. 534-547).
• W. de Nooy, A. Mrvar, and V. Batagelj, Exploratory Social Network Analysis with Pajek (Cambridge: Cambridge University Press, 2004), Chapter 4.

How to Cite:

J. L . Moreno, et.al (1960) The Sociometry Reader. The Free Press, p. 534-547. Retrieved from: https://sites.google.com/site/ucinetsoftware/datasets/flyingteams.

Description

Our network example describes the 22 soccer teams which participated in the World Championship in Paris, 1998.

Players of the national team often have contracts in other countries. This constitutes a players market where national teams export players to other countries. Members of the 22 teams had contracts in altogether 35 countries.

Counting which team exports how many players to which country can be described with a valued, asymmetric graph. The graph is highly unsymmetric: some countries only export players, some countries are only importers.

File Downloads

• football.xml (DyNetML)

References

• Dagstuhl seminar: Link Analysis and Visualization, Dagstuhl 1-6. July 2001.

How to Cite:

Lothar Kremple (1999). football data set [Data set].

Description

In a famous study, known as the Columbia University Drug Study, the diffusion of a new drug (gammanym) was investigated. The researchers collected data on the first subscription of this drug by physicians in several communities. In addition, they investigated friendship ties and discussion links between the physicians, asking them to name three doctors whom they considered to be personal friends and to nominate three doctors with whom they would choose to discuss medical matters.

The file Galesburg.net contains a network of friendship (blue) and discussion ties (red) between 17 physicians who adopted the new drug in Galesburg (Illinois) in the 1950s. The partition Galesburg_adoptiontime.clu specifies the number of months since the introduction of the new drug at which the physician first prescribed the drug. This is considered to be their adoption time.

File Downloads

• Galesburg.xml (DyNetML)

References

• J.S. Coleman, E. Katz and H. Menzel, Medical Innovation. A Diffusion Study (Indianapolis: Bobbs-Merrill, 1966).D. Knoke and R.S. Burt, 'Prominence', in R.S. Burt and M.J. Minor (Eds.), Applied Network Analysis. A Methodological Introduction (Beverly Hills: Sage Publications, 1983, 195-222).
• W. de Nooy, A. Mrvar, & V. Batagelj, Exploratory Social Network Analysis with Pajek (Cambridge: Cambridge University Press, 2004), Chapter 8.

How to Cite:

Knoke D., Burt, R.S.(1983). Prominence, in R.S. Burt and M.J. Minor (Eds.), Applied Network Analysis. A Methodological Introduction, Beverly Hills: Sage Publications, 195-222. Retrieved from: https://sites.google.com/site/ucinetsoftware/datasets/galesburgdrugstudy.

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