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 language | English |
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Title of host publication | Computational Collective Intelligence |
Subtitle of host publication | Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings |
Pages | 22-30 |
Number of pages | 9 |
Edition | PART 2 |
DOIs | |
Publication status | Published - 2010 |
Event | 2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010 - Kaohsiung, Taiwan, Province of China Duration: 2010 Nov 10 → 2010 Nov 12 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Number | PART 2 |
Volume | 6422 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010 |
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Country/Territory | Taiwan, Province of China |
City | Kaohsiung |
Period | 10/11/10 → 10/11/12 |
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)