A cluster-based opinion leader discovery in social network

Yi Cheng Chen, Ju Ying Cheng, Hui Huang Hsu

研究成果: 書貢獻/報告類型會議論文篇章同行評審

7 引文 斯高帕斯(Scopus)

摘要

Recently, opinion leader discovery has drawn much attention due to its widespread applicability. By identifying the opinion leader, companies or governments can manipulate the selling or guiding public opinion, respectively. However, mining opinion leader is a challenge task because of the complexity of processing social graph and analyzing leadership quality. In this study, a novel method, TCOL-Miner, is proposed to efficiently find the opinion leaders from a huge social network. We integrate the clustering and semantic analysis methods with some pruning strategies to tackle the influence overlapping issue and the potential leadership of individuals. The experimental results show that the proposed TCOL-Miner can effectively discover the influenced opinion leaders in different real social networks with efficiency.

原文???core.languages.en_GB???
主出版物標題TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面78-83
頁數6
ISBN(電子)9781509057320
DOIs
出版狀態已出版 - 16 3月 2017
事件2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016 - Hsinchu, Taiwan
持續時間: 25 11月 201627 11月 2016

出版系列

名字TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016
國家/地區Taiwan
城市Hsinchu
期間25/11/1627/11/16

指紋

深入研究「A cluster-based opinion leader discovery in social network」主題。共同形成了獨特的指紋。

引用此