Conference paper Open Access

Identifying terrorism-related key actors in multidimensional social networks

George Kalpakis; Theodora Tsikrika; Stefanos Vrochidis; Ioannis Kompatsiaris

Identifying terrorism-related key actors in social media is of vital signi cance for law enforcement agencies and social media organizations in their e ort to counter terrorism-related online activities. This work proposes a novel framework for the identi cation of key actors in multidimensional social networks formed by considering several dfferent types of user relationships/interactions in social media. The framework is based on a mechanism which maps the multidimensional network to a single-layer network, where several centrality measures can then be employed for detecting the key actors. The effectiveness of the proposed framework for each centrality measure is evaluated by using well-established precision-oriented evaluation metrics against a ground truth dataset, and the experimental results indicate the promising performance of our key actor identi cation framework.

Files (509.2 kB)
Name Size
509.2 kB Download
All versions This version
Views 109109
Downloads 199199
Data volume 101.3 MB101.3 MB
Unique views 9797
Unique downloads 187187


Cite as