期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2016
卷号：9
期号：5
页码：391-398
DOI：10.14257/ijhit.2016.9.5.33
出版社：SERSC
摘要：Opinion leaders in online social networks are important for a lot of applications in various fields such as public opinion propagation, marketing management, administrative science and even politics. There are often many kinds of relationships in an online social network. Detecting and identifying opinion leaders depending on any one kind of relationship is all accurate. In this paper, node importance analysis in multi-relationship online social network was proposed based on signaling spreading, and considering the characteristics of multiple relationships which would interrelate with each other. Through node importance, a novel opinion leaders detecting algorithm is proposed and approved to be efficient by experiments described in the paper.
