Malicious Information Source Detection in Social Networks

Vadym Melnyk, Iryna Styopochkina


The paper is devoted to investigation of the problem of malicious information source detection among the users of popular social network. The advantages and disadvantages of existing algorithms of rumor source detection were analyzed. The practice-oriented algorithm of malicious source detection have been proposed, it differs from the existing ones with additional verification procedure of the authorship. Appropriate software have been developed.

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