Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)

A hybrid Model for the Evolution of Network Public Sentiment Based on Bass and Cellular Automata

Authors
Shibao Sun, Jingshan Zhang, Yanan Zhang, Chong Zhang
Corresponding Author
Shibao Sun
Available Online September 2016.
DOI
10.2991/icence-16.2016.76How to use a DOI?
Keywords
Network Public Opinion; Cellular Automata; External Influence; Simulation Experiment.
Abstract

Considering netizen opinion is influenced by many factors in the spread of public opinion, combine the Bass theory and traditional cellular automata model, add external influence, degree of neighbor and external influence, a hybrid model for the evolution of online public sentiment considering the external influence is set up. Propose a modified conversion formula of tendency, analyze simulation results by coarse and fine grained statistical method. The simulation results show that the model can better reflect the trend of network public opinion dissemination.

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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Volume Title
Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
Series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-229-9
ISSN
2352-538X
DOI
10.2991/icence-16.2016.76How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Shibao Sun
AU  - Jingshan Zhang
AU  - Yanan Zhang
AU  - Chong Zhang
PY  - 2016/09
DA  - 2016/09
TI  - A hybrid Model for the Evolution of Network Public Sentiment Based on Bass and Cellular Automata
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 393
EP  - 398
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.76
DO  - 10.2991/icence-16.2016.76
ID  - Sun2016/09
ER  -