Information spreading in context

Dashun Wang, Zhen Wen, Hanghang Tong, Ching Yung Lin, Chaoming Song, Albert László Barabási

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

91 Scopus citations

Abstract

Information spreading processes are central to human interactions. Despite recent studies in online domains, little is known about factors that could affect the dissemination of a single piece of information. In this paper, we address this challenge by combining two related but distinct datasets, collected from a large scale privacy-preserving distributed social sensor system. We find that the social and organizational context significantly impacts to whom and how fast people forward information. Yet the structures within spreading processes can be well captured by a simple stochastic branching model, indicating surprising independence of context. Our results build the foundation of future predictive models of information flow and provide significant insights towards design of communication platforms.

Original languageEnglish (US)
Title of host publicationProceedings of the 20th International Conference on World Wide Web, WWW 2011
Pages735-744
Number of pages10
DOIs
StatePublished - Dec 1 2011
Externally publishedYes
Event20th International Conference on World Wide Web, WWW 2011 - Hyderabad, India
Duration: Mar 28 2011Apr 1 2011

Publication series

NameProceedings of the 20th International Conference on World Wide Web, WWW 2011

Other

Other20th International Conference on World Wide Web, WWW 2011
CountryIndia
CityHyderabad
Period3/28/114/1/11

Keywords

  • Context
  • Information spread
  • Network science
  • Social networks
  • Structure

ASJC Scopus subject areas

  • Computer Networks and Communications

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