Information diffusion in social networks: Observing and affecting what society cares about

Divyakant Agrawal, Ceren Budak, Amr El Abbadi

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

6 Citations (Scopus)

Abstract

Information diffusion in social networks provide great opportunities for political and social change as well as societal education. Therefore understanding information diffusion in social networks is a critical research goal. This greater understanding can be achieved through data analysis, development of reliable models that can predict outcomes of social processes, and ultimately the creation of applications that can shape the outcome of these processes. In this tutorial, we aim to provide an overview of such recent research based on a wide variety of techniques such as optimization algorithms, data mining, data streams covering a large number of problems such as influence spread maximization, misinformation limitation and study of trends in online social networks.

Original languageEnglish
Title of host publicationCIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management
Number of pages1
DOIs
Publication statusPublished - 13 Dec 2011
Event20th ACM Conference on Information and Knowledge Management, CIKM'11 - Glasgow, United Kingdom
Duration: 24 Oct 201128 Oct 2011

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other20th ACM Conference on Information and Knowledge Management, CIKM'11
CountryUnited Kingdom
CityGlasgow
Period24/10/1128/10/11

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Keywords

  • information cascades
  • misinformation
  • social networks
  • trends

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

Cite this

Agrawal, D., Budak, C., & El Abbadi, A. (2011). Information diffusion in social networks: Observing and affecting what society cares about. In CIKM'11 - Proceedings of the 2011 ACM International Conference on Information and Knowledge Management (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/2063576.2064036