Proactive rumor control in online networks

Peng, Z, Zhang, P, Zhang, Y, Niu, Y, Bao, Z, Mo, S and Geng, F 2018, 'Proactive rumor control in online networks', World Wide Web, pp. 1-20.

Document type: Journal Article
Collection: Journal Articles

Title Proactive rumor control in online networks
Author(s) Peng, Z
Zhang, P
Zhang, Y
Niu, Y
Bao, Z
Mo, S
Geng, F
Year 2018
Journal name World Wide Web
Start page 1
End page 20
Total pages 20
Publisher Springer New York LLC
Abstract The spread of rumors through online networks not only threatens the public safety but also results in loss of financial property. To serve as a reliable platform for spreading critical information, many work study the problem of rumor control which aims at limiting the pernicious influence of rumors. These methods, however, only assume that users are passive receivers of rumors even if the users can browse the rumors on their own. To overcome this issue, in this paper we study the rumor spread from a proactive perspective and introduce a novel rumor control problem, called users' B rowsing based rU mor blocK (BUK). Given a rumor set R, BUK can be summarized as targeting k nodes as 'protectors' to save nodes in G from being influenced by R as many as possible. Different with the previous studies, BUK considers that the rumors spread via users' browsing behaviors, and models the propagation based on the random walk model. Theoretical analysis shows that the problem of BUK is submodular, and we propose two greedy algorithms that can approximate BUK within a ratio of (1 - 1/e). However, both of them consume high spaces and thereby cannot be applied to very large networks. Therefore, we further propose a ranking based method RanSel to solve BUK heuristically, which only consumes a linear space to the graph size. The experiments reveal that the effectiveness of our methods outperforms the baseline by 6% to 59.2%, and our methods can achieve such an effective result in reasonable time.
Subject Global Information Systems
Database Management
Keyword(s) Influence spread
Random walk
Rumor control
Social network
DOI - identifier 10.1007/s11280-018-0623-9
Copyright notice © Springer Science+Business Media, LLC, part of Springer Nature 2018
ISSN 1386-145X
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