Earticle

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

Abstract
 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

키워드

저자

• Weihua Zhang [ International College of Qingdao University, Qingdao, China ]
• Gengxin Sun [ International College of Qingdao University, Qingdao, China ]
• Sheng Bin [ Software Technical College of Qingdao University, Qingdao, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605