Iain Cruickshank
CASOS Related faculty, Adjunct Faculty

Email: icruicks[AT]andrew.cmu.edu

Projects:

Publications:

Cruickshank, Iain. (2020). Multi-view Clustering of Social-based Data. Carnegie Mellon University, School of Computer Science, Institute for Software Research, CASOS, Doctor of Philosophy, WebSite: [link]

Cruickshank, Iain & Carley, Kathleen M . (2020). Identifying Misinformation Campaigns. Future Forces, 6, 36-37.

Cruickshank, Iain & Carley, Kathleen M . (2020). Analysis of Malware Communities Using Multi-Modal Features. IEEE Access, 8, 77435-77448. [DOI]

Campedelli, Gian M & Cruickshank, Iain & Carley, Kathleen M . (2019). A Complex Networks Approach to Find Latent Clusters of Terrorist Groups. Applied Network Science, 4, [DOI] WebSite: [link]

Cruickshank, Iain & Carley, Kathleen M . (2019). Socio-cultural Cognitive Mapping to Identify Communities and Latent Networks. Lecture Notes in Social Neetworks, Springer.

Cruickshank, Iain. (2018). Why The Army's New Palantir Contract Won't Fix Battlefield Intelligence. Task & Purpose, WebSite: [link]

Campedelli, Gian M & Cruickshank, Iain & Carley, Kathleen M . (2018). Complex Networks for Terrorist Target Prediction. In Proceedings of the 2018 SBP-BRiMS Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction and Behavior Representation in Modeling and Simulation, Washington, DC, June 10-13, 2018, Springer. [DOI] WebSite: [link]

Campedelli, Gian M & Cruickshank, Iain & Carley, Kathleen M . (2018). Detecting Latent Terrorist Communities Testing a Gower's Similarity-based Clustering Algorithm for Multi-Partite Networks. In Proceedings of the International Conference on Complex Networks and their Applications, [pdf]

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