Study on Evolution Model of Internet Public Opinion Based on Complex Network

DOI

10.2991/icence-16.2016.75How to use a DOI?

Keywords

Internet Public Opinion, Synergy Evolution, Order Parameter, Topology Structure

Abstract

In view of the complexity of Internet and the heterogeneity of individual in public opinion spreading, established the Internet public opinion evolution model based on complex network. Through experiment simulation, observed influences of order parameter and network topology on the evolution of opinion. Simulation results show that: 1) this model can greatly reflect the synergy effect of order parameters on opinion system, and it is more consistent with the actual situation. 2) the evolution of opinion is related to average degree and clustering coefficient: when average degree is small, the bigger clustering coefficient is, the more it can restrain the propagation of opinion; but when aveage degree exceeds a critical value, clustering coefficient no longer plays a key role, and at this point system will converge rapidly to extreme attitude.

Copyright

© 2016, 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  - Shibao Sun
AU  - Yanan Zhang
AU  - Jingshan Zhang
AU  - Chong Zhang
PY  - 2016/09
DA  - 2016/09
TI  - Study on Evolution Model of Internet Public Opinion Based on Complex Network
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 387
EP  - 392
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.75
DO  - 10.2991/icence-16.2016.75
ID  - Sun2016/09
ER  -