A Method of discovering Key Nodes for Online Social Network based on Coritivity Theory

DOI

10.2991/icmia-17.2017.62How to use a DOI?

Keywords

online social networks, core and coritivity, key node

Abstract

It has become well known that knowledge about key network members is essential for monitoring public opinion and controlling rumor propagation effectively in online social networks. According to global topology of online social network and coritivity theory, a coritivity-based method for finding key nodes in online social networks is proposed in this paper. In this method, the core of online social network is firstly found out, and then the importance of each node in core set is computed by using the traditional node importance measurement method so that further distinguish the importance of each node. Experimental results show that the method can discovery the key nodes in networks accurately, which is effective and feasible.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jun Wang
AU  - Suozhu Wang
PY  - 2017/06
DA  - 2017/06
TI  - A Method of discovering Key Nodes for Online Social Network based on Coritivity Theory
BT  - Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
PB  - Atlantis Press
SP  - 336
EP  - 340
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-17.2017.62
DO  - 10.2991/icmia-17.2017.62
ID  - Wang2017/06
ER  -