Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)

Rumor Propagation Model on Complex Network with Repast Simulation Platform

Authors
Rui SUN, Wanbo LUO, Yong ZHONG
Corresponding Author
Rui SUN
Available Online July 2017.
DOI
10.2991/eia-17.2017.77How to use a DOI?
Keywords
rumor propagation; repast; complex networks; multi-agent modeling
Abstract

Considering propagation characteristics of rumor on complex networks, this paper presents a rumor propagation model on complex network with Repast simulation platform. We introduce the structure and the main class library of Repast simulation platform. Then we build an efficient model based on the multi-agent modeling method. Through the model, we simulate the behavior of rumor propagation on scale-free network and calculate the propagation thresholds by corresponding dynamics equation. Theoretical analysis and simulation results show some basic rules and behavior characteristics of rumor propagation. Finally, we put forward some strategy and measures for prevention and control rumors.

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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Volume Title
Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
July 2017
ISBN
10.2991/eia-17.2017.77
ISSN
1951-6851
DOI
10.2991/eia-17.2017.77How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Rui SUN
AU  - Wanbo LUO
AU  - Yong ZHONG
PY  - 2017/07
DA  - 2017/07
TI  - Rumor Propagation Model on Complex Network with Repast Simulation Platform
BT  - Proceedings of the 2017 International Conference on Electronic Industry and Automation (EIA 2017)
PB  - Atlantis Press
SP  - 358
EP  - 361
SN  - 1951-6851
UR  - https://doi.org/10.2991/eia-17.2017.77
DO  - 10.2991/eia-17.2017.77
ID  - SUN2017/07
ER  -