Dynamic Society's Information Networks Based on the Complex Network Theory and the Dynamics of Infectious Disease: Part1. Model Theory
Authors
Han Xu
Corresponding Author
Han Xu
Available Online May 2017.
- 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/).
Cite this article
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 -