Finding leaders from opinion networks

Zhou Hengmin, Daniel Zeng, Zhang Changli

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

32 Scopus citations

Abstract

This paper is motivated to utilize results from opinion mining to facilitate social network analysis. We introduce the concept of Opinion Networks and propose a PageRank-like algorithm, named OpinionRank, to rank the nodes in an opinion network. This proposed approach has been applied to real-world datasets and initial experiments indicate that the sentiment information is helpful for finding leaders of online communities and that the OpinionRank method outperforms benchmark methods that ignore sentiment information.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Pages266-268
Number of pages3
DOIs
StatePublished - Oct 22 2009
Event2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 - Dallas, TX, United States
Duration: Jun 8 2009Jun 11 2009

Publication series

Name2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009

Other

Other2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
CountryUnited States
CityDallas, TX
Period6/8/096/11/09

    Fingerprint

Keywords

  • Opinion leaders
  • Opinion mining
  • Opinion network
  • Social network

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

Cite this

Hengmin, Z., Zeng, D., & Changli, Z. (2009). Finding leaders from opinion networks. In 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 (pp. 266-268). [5137323] (2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009). https://doi.org/10.1109/ISI.2009.5137323