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Insider threats can cause immense damage to organizations of different types, including government, corporate, and non-profit organizations. Being an insider, however, does not necessarily equate to being a threat. Effectively identifying valid threats, and assessing the type of threat an insider presents, remain difficult challenges. In this work, we propose a novel breakdown of eight insider threat...
Social Network Analysis (SNA) is a powerful tool for analyzing social phenomena that is based on studying how actors are connected or interact with each other. All Social Networks (SNs) are inherently embedded in particular cultures. However, the effect of cultural influence is often missing from SNA techniques. Moreover, to incorporate culture, modeling approaches have to deal with inaccurate, unrealistic,...
Research in Information Retrieval (IR) experienced a paradigm shift from first having too few documents to search from to now having way too many of them. When users have trouble finding relevant documents, they tend to become frustrated and give up searching. Scholars have attempted to reduce instances of search frustration via query expansion, information filtering, and incorporating user feedback...
Modeling real-world social situations has proven to be one of the most daunting challenges in computational social science. With the exception of simplistic, single-domain scenarios, most computational models are quickly overwhelmed with the complexity and diversity of real-world scenarios. In this paper, we apply intent-driven modeling to a complex, real-world scenario. By mapping actors' intentions...
Modeling complex real world scenarios require representing and analyzing information from multiple domains including social, economic and political aspects. However, most of the current frameworks in social networks are not generic enough to incorporate multi-domain information or to be applied in different scenarios. Current frameworks also make simplifications in other modeling aspects such as incorporating...
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