Dynamic Society's Information Networks Based on the Complex Network Theory and the Dynamics of Infectious Disease: Part1. Model Theory

DOI

10.2991/msmee-17.2017.147How to use a DOI?

Keywords

complex network theory dynamics of infectious diseases normal distribution

Abstract

In this paper, the society's information network simulation model is established to analyze how information flow, how public interest and opinion can be changed through the information networks, how information value and other parameters can be used to spread information and influence public opinion, and predict the communication situation in the future.

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  - Han Xu
PY  - 2017/05
DA  - 2017/05
TI  - Dynamic Society's Information Networks Based on the Complex Network Theory and the Dynamics of Infectious Disease: Part1. Model Theory
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 755
EP  - 758
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.147
DO  - 10.2991/msmee-17.2017.147
ID  - Xu2017/05
ER  -