@inproceedings{0e34b91993d043889503baf60f64ddc6,
title = "Identifying opinion leaders from online comments",
abstract = "Online comments are ubiquitous in social media such as micro-blogs, forums and blogs. They provide opinions of reviewers that are useful for understanding social media. Identifying opinion leaders from all reviewers is one of the most important tasks to analysis online comments. Most existing methods to identify opinion leaders only consider positive opinions. Few studies investigate the effect of negative opinions on opinion leader identification. In this paper, we propose a novel method to identify opinion leaders from online comments based on both positive and negative opinions. In this method, we first construct a signed network from online comments, and then design a new model based on PageTrust, called TrustRank, to identify opinion leaders from the signed network. Experimental results on the online comments of a real forum show that the proposed method is competitive with other related state-of-the-art methods.",
keywords = "Online comments, Opinion leader, PageRank, Signed networks",
author = "Yi Chen and Xiaolong Wang and Buzhou Tang and Ruifeng Xu and Bo Yuan and Xin Xiang and Junzhao Bu",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2014.; 3rd National Conference on Social Media Processing, SMP 2014 ; Conference date: 01-11-2014 Through 02-11-2014",
year = "2014",
doi = "10.1007/978-3-662-45558-6",
language = "英语",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "231--239",
editor = "Jie Tang and Ting Liu and Heyan Huang and Hua-Ping Zhang",
booktitle = "Social Media Processing - 3rd National Conference, SMP 2014, Proceedings",
address = "德国",
}