Standard Network Analysis: task-event---organization

Standard Network Analysis: task-event---organization

Input data: task-event---organization

Start time: Tue Oct 18 12:10:30 2011

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Network Level Measures

MeasureValue
Row count22.000
Column count38.000
Link count11.000
Density0.013

Node Level Measures

MeasureMinMaxAvgStddev
In-degree centrality0.0000.1210.0060.021
In-degree centrality [Unscaled]0.0008.0000.3951.387
Out-degree centrality0.0000.0440.0060.013
Out-degree centrality [Unscaled]0.0005.0000.6821.489

Key Nodes

In-degree centrality

The In Degree Centrality of a node is its normalized in-degree. For any node, e.g. an individual or a resource, the in-links are the connections that the node of interest receives from other nodes. For example, imagine an agent by knowledge matrix then the number of in-links a piece of knowledge has is the number of agents that are connected to. The scientific name of this measure is in-degree and it is calculated on the agent by agent matrices.

Input network(s): task-event---organization

RankOrganizationValueUnscaled
1hamas0.1218.000
2islamic_jihad0.0453.000
3hezbollah0.0302.000
4polic0.0151.000
5al-qaeda0.0151.000

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Out-degree centrality

For any node, e.g. an individual or a resource, the out-links are the connections that the node of interest sends to other nodes. For example, imagine an agent by knowledge matrix then the number of out-links an agent would have is the number of pieces of knowledge it is connected to. The scientific name of this measure is out-degree and it is calculated on the agent by agent matrices. Individuals or organizations who are high in most knowledge have more expertise or are associated with more types of knowledge than are others. If no sub-network connecting agents to knowledge exists, then this measure will not be calculated. The scientific name of this measure is out degree centrality and it is calculated on agent by knowledge matrices. Individuals or organizations who are high in "most resources" have more resources or are associated with more types of resources than are others. If no sub-network connecting agents to resources exists, then this measure will not be calculated. The scientific name of this measure is out degree centrality and it is calculated on agent by resource matrices.

Input network(s): task-event---organization

RankTaskValueUnscaled
1arrest0.0445.000
2war0.0354.000
3kill0.0354.000
4support0.0091.000
5accus0.0091.000

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Key Nodes Table

This shows the top scoring nodes side-by-side for selected measures.

RankBetweenness centralityCloseness centralityEigenvector centralityEigenvector centrality per componentIn-degree centralityIn-Closeness centralityOut-degree centralityTotal degree centrality
1----hamas-arrest-
2----islamic_jihad-war-
3----hezbollah-kill-
4----polic-support-
5----al-qaeda-accus-
6----fbi-crime-
7----agenc-intifada-
8----treasury-takeov-
9----committe-airstrike-
10----palestinian_authority-raid-