Conversation analysis based on interpersonal relationship in consensus building

Ning He*, Osamu Yoshie

*Corresponding author for this work

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

1 Citation (Scopus)

Abstract

Building consensus is a process in which participants start with various opinions and reach an agreement as far as possible. During a discussion, participants exhibit different stances such as agree or disagree at other's utterances. In this paper, a stance analysis of participants by combining BBS tree structure and participant relation graph is proposed. The stance change is measured by an approach of information theory. Finally, simulations are provided to demonstrate the feasibility of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 15th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2013
Pages26-33
Number of pages8
DOIs
Publication statusPublished - 2013
Event15th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2013 - Vienna, Austria
Duration: 2013 Dec 22013 Dec 4

Publication series

NameACM International Conference Proceeding Series

Conference

Conference15th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2013
Country/TerritoryAustria
CityVienna
Period13/12/213/12/4

Keywords

  • Bayesian updating
  • Consensus building
  • Entropy
  • Interpersonal relationship

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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