Proceedings of the 2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)

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

Authors
Jun Wang, Suozhu Wang
Corresponding Author
Jun Wang
Available Online June 2017.
DOI
https://doi.org/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.
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Proceedings
2017 6th International Conference on Measurement, Instrumentation and Automation (ICMIA 2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
978-94-6252-387-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmia-17.2017.62How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/icmia-17.2017.62
ID  - Wang2017/06
ER  -