@inproceedings{8be6a575e942443bbd660673a74009a0,
title = "A cluster-based opinion leader discovery in social network",
abstract = "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.",
keywords = "clustering, opinion Leader, semantic analysis, social network",
author = "Chen, {Yi Cheng} and Cheng, {Ju Ying} and Hsu, {Hui Huang}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2016 ; Conference date: 25-11-2016 Through 27-11-2016",
year = "2017",
month = mar,
day = "16",
doi = "10.1109/TAAI.2016.7880184",
language = "???core.languages.en_GB???",
series = "TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "78--83",
booktitle = "TAAI 2016 - 2016 Conference on Technologies and Applications of Artificial Intelligence, Proceedings",
}