Community Based Information Dissemination
Refereed conference paper presented and published in conference proceedings


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AbstractGiven a social network, we study the problem of finding k seeds that maximize the dissemination of information. Based on the principle of homophily, communities play an important role since information can be disseminated to communities via the seeds. We introduce a new mechanism for detecting communities satisfying the pertinent criteria for communities and information dissemination. We demonstrate the effectiveness of our approach by an application of the results for influence maximization.
All Author(s) ListYang ZW, Fu AWC, Xu YY, Huang SL, Leung HF
Name of Conference26th Australasian Database Conference (ADC)
Start Date of Conference04/06/2015
End Date of Conference07/06/2015
Place of ConferenceMelbourne
Country/Region of ConferenceAustralia
Journal nameLecture Notes in Artificial Intelligence
Year2015
Month1
Day1
Volume Number9093
PublisherSPRINGER-VERLAG BERLIN
Pages220 - 231
ISBN978-3-319-19547-6
eISBN978-3-319-19548-3
ISSN0302-9743
LanguagesEnglish-United Kingdom
KeywordsCommunity detection; Information dissemination
Web of Science Subject CategoriesComputer Science; Computer Science, Information Systems; Computer Science, Theory & Methods

Last updated on 2020-03-06 at 01:14