Identifying representative reviewers in internet social media

Sang Min Choi, Jeong Won Cha, Yo Sub Han

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

7 Citations (Scopus)

Abstract

In a society, we have many forms of relations with other people from home, work or school. These relationships give rise to a social network. People in a social network receive, provide and pass lots of information. We often observe that there are a group of people who have high influence to other people. We call these high influence people opinion leaders. Thus, it is important and useful to identify opinion leaders in a social network. In Web 2.0, there are many user participations and we can create a social network from the user activities. We propose a simple yet reliable algorithm that finds opinion leaders in a cyber social network. We consider a social network of users who rate musics and identify representative users of the social network. Then, we verify the correctness of the proposed algorithm by the T-test.

Original languageEnglish
Title of host publicationComputational Collective Intelligence
Subtitle of host publicationTechnologies and Applications - Second International Conference, ICCCI 2010, Proceedings
Pages22-30
Number of pages9
EditionPART 2
DOIs
Publication statusPublished - 2010
Event2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010 - Kaohsiung, Taiwan, Province of China
Duration: 2010 Nov 102010 Nov 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6422 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period10/11/1010/11/12

Bibliographical note

Funding Information:
Choi and Han were supported by the Basic Science Research Program through NRF funded by MEST and Cha was supported by the IT R&D program of MKE/IITA 2008-S-024-01.

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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