원문정보
초록
영어
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.
목차
1. Introduction
2. Node Importance Evaluation Approaches of Complex Network
3. Node Importance Evaluation Approach Based on Signaling Spreading
3.1. Signaling Spreading
3.2. Signaling Spreading in Multi-Relationship Network
4. Node Importance Matrix Iterative Algorithm
5. Experiment and Analysis
6. Conclusion
References