A Model of Measuring the Evolution and Influence in Society

DOI

10.2991/icemct-17.2017.153How to use a DOI?

Keywords

Society's information network, SIR epidemic model, MATLAB simulation

Abstract

With the rapid development of communication technology, flow of information has been accelerated time after time. Accompanied by the change, more attention is also paid to evolution and influence in society's information networks. Aiming to evaluate the speed and direction of information flow, the thesis utilizes differential equations to formulate the model. In the model, members of society are seen as nodes in the network. Motivated by SIR epidemic model, the thesis analyzes different nodes' features in the process of information flow and numerical development trends. On the basis of the above analysis, MATLAB is utilized to simulate the extent of information sharing when information flow reaches the steady state. The thesis further discusses its potential influence on public interest and opinion combined with data. Several suggestions are put forward on optimizing the social's information network.

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  - Jixing Liu
PY  - 2017/05
DA  - 2017/05
TI  - A Model of Measuring the Evolution and Influence in Society
BT  - Proceedings of the 2017 4th International Conference on Education, Management and Computing Technology (ICEMCT 2017)
PB  - Atlantis Press
SP  - 715
EP  - 719
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemct-17.2017.153
DO  - 10.2991/icemct-17.2017.153
ID  - Liu2017/05
ER  -