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.
|Title of host publication||Computational Collective Intelligence|
|Subtitle of host publication||Technologies and Applications - Second International Conference, ICCCI 2010, Proceedings|
|Number of pages||9|
|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
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||2nd International Conference on Computational Collective Intelligence - Technologies and Applications, ICCCI 2010|
|Country/Territory||Taiwan, Province of China|
|Period||10/11/10 → 10/11/12|
Bibliographical noteFunding 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)