TONIC: target oriented network intelligence collection for the social web
作者： Zahy Bnaya , Ariel Felner , Rami Puzis , Tal Beja , Roni Stern
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摘要: In this paper we introduce the Target Oriented Network Intelligence Collection (TONIC) problem, which is problem of finding profiles in a social network that contain information about given target via automated crawling. We formalize TONIC as search and best-first approach proposed for solving it. Several heuristics are presented to guide search. These based on topology currently known part network. The efficiency effect graph their performance experimentally evaluated Google+
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