Spam and the Social-Technical Gap
Computer
Network Analysis: Methodological Foundations (Lecture Notes in Computer Science)
Network Analysis: Methodological Foundations (Lecture Notes in Computer Science)
Detection Methods of Dynamic Spammers' Behavior
DEPCOS-RELCOMEX '07 Proceedings of the 2nd International Conference on Dependability of Computer Systems
Combinatorial optimization: mutual relations among graph algorithms
WSEAS Transactions on Mathematics
Community-based features for identifying spammers in online social networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Early detection of social threats and anomalies is a real challenge in today's dynamic societies. The people form many complex social relations that can be shown by various types of graphs in which the nodes would represent the subjects (individuals or groups of people) and the links would indicate specific relations between them. The analysis of these constantly changing relations can point out specific social threats that are imminent. Observing the tendency of changes in the social relation graphs, such threats can be early detected and adequate preventative steps can be taken. In the paper we present how this approach can be efficiently used to early detect imminent threats of spam to a local e-mail society and isolate groups of spammers before their messages reach the users inboxes.