Information propagation in online social networks based on user behavior

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Along with the development of Internet and Web2.0, online social networks (OSNs) are becoming an important information propagation platform. Therefore, it is of great significance to study the information propagation rules in OSNs. An information propagation model named IP-OSN is proposed in this paper, and some simulation experiments are carried out to investigate the mechanism of information propagation. From the experimental results, we can see that along with the information propagation, the number of known nodes increases and reaches its maximum, then keep an unchanging status. Moreover, from the user behavior aspect, we find that different user behavior in OSNs causes different information propagation results, the more users who are willing to diffuse information, the more scope the information can propagate and the faster the information diffuses. Findings in this paper are meaningful for theory of information propagation and complex networks.

Original languageEnglish
Title of host publicationInformation Computing and Applications - Third International Conference, ICICA 2012, Proceedings
Pages23-30
Number of pages8
DOIs
StatePublished - 2012
Event3rd International Conference on Information Computing and Applications, ICICA 2012 - Chengde, China
Duration: 14 Sep 201216 Sep 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7473 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Information Computing and Applications, ICICA 2012
Country/TerritoryChina
CityChengde
Period14/09/1216/09/12

Keywords

  • Information Propagation/Diffusion
  • Online Social Networks
  • User Behavior

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