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- W68441403 abstract "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." @default.
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- W68441403 date "2008-03-01" @default.
- W68441403 modified "2023-09-22" @default.
- W68441403 title "Application of social relation graphs for early detection of transient spammers" @default.
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