Positive influence dominating set in online social networks

Feng Wang, Erika Camacho, Kuai Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

61 Scopus citations


Online social network has developed significantly in recent years as a medium of communicating, sharing and disseminating information and spreading influence. Most of current research has been on understanding the property of online social network and utilizing it to spread information and ideas. In this paper, we explored the problem of how to utilize online social networks to help alleviate social problems in the physical world, for example, the drinking, smoking, and drug related problems. We proposed a Positive Influence Dominating Set (PIDS) selection algorithm and analyzed its effect on a real online social network data set through simulations. By comparing the size and the average positive degree of PIDS with those of a 1-dominating set, we found that by strategically choosing 26% more people into the PIDS to participate in the intervention program, the average positive degree increases by approximately 3.3 times. In terms of the application, this result implies that by moderately increasing the participation related cost, the probability of positive influencing the whole community through the intervention program is significantly higher. We also discovered that a power law graph has empirically larger dominating sets (both the PIDS and 1-dominating set) than a random graph does.

Original languageEnglish (US)
Title of host publicationCombinatorial Optimization and Applications - Third International Conference, COCOA 2009, Proceedings
Number of pages9
StatePublished - 2009
Event3rd International Conference on Combinatorial Optimization and Applications, COCOA 2009 - Huangshan, China
Duration: Jun 10 2009Jun 12 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5573 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd International Conference on Combinatorial Optimization and Applications, COCOA 2009

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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