Social Network Analysis via Matrix Decompositions: al Qaeda
نویسنده
چکیده
Social network analysis investigates the structure of human groups using pairwise links among their members. We show how matrix decompositions can be used to extend the standard repertoire of social network and link analysis tools to allow, for example, the inclusion of other information about individuals, and higher-order information about the relationships among them. We show how these extensions can be applied by analyzing the structure of al Qaeda and its related terrorist organizations. Much of the information about, for example, relative importance of al Qaeda members can be extracted from simple relational information.
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