Finding influentials based on the temporal order of information adoption in Twitter

Changhyun Lee, Haewoon Kwak, Hosung Park, Sue Moon

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

102 Citations (Scopus)

Abstract

Twitter offers an explicit mechanism to facilitate information diffusion and has emerged as a new medium for communication. Many approaches to find influentials have been proposed, but they do not consider the temporal order of information adoption. In this work, we propose a novel method to find influentials by considering both the link structure and the temporal order of information adoption in Twitter. Our method finds distinct influentials who are not discovered by other methods.

Original languageEnglish
Title of host publicationProceedings of the 19th International Conference on World Wide Web, WWW '10
Pages1137-1138
Number of pages2
DOIs
Publication statusPublished - 20 Jul 2010
Event19th International World Wide Web Conference, WWW2010 - Raleigh, NC, United States
Duration: 26 Apr 201030 Apr 2010

Publication series

NameProceedings of the 19th International Conference on World Wide Web, WWW '10

Other

Other19th International World Wide Web Conference, WWW2010
CountryUnited States
CityRaleigh, NC
Period26/4/1030/4/10

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Keywords

  • influentials
  • information diffusion
  • ranking
  • social networks
  • twitter

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Lee, C., Kwak, H., Park, H., & Moon, S. (2010). Finding influentials based on the temporal order of information adoption in Twitter. In Proceedings of the 19th International Conference on World Wide Web, WWW '10 (pp. 1137-1138). (Proceedings of the 19th International Conference on World Wide Web, WWW '10). https://doi.org/10.1145/1772690.1772842