The model of the influence for the public interests based on Markov chain

DOI

10.2991/mmebc-16.2016.294How to use a DOI?

Keywords

Information Network, Markov Model

Abstract

In this paper, the Markov model is built to explore how social information spreads and works, especially through the networks. the note distance calculation model based on Cluster analysis is proposed to determine the factors affecting public interest and opinions. We divide people in a region into three types according to their interest and opinions, and build up a simplified information network, assuming that the public interest and opinions just depend on current conditions. In this model, Markov model is used to determine the percentage of each kind of people. It is shown that, as the distance of the nodes changes, the final percentage of the three types of people will be also changed. To verify the effectiveness and sensitivity, we apply our model to a specific area, which shows a satisfactory result.

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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TY  - CONF
AU  - Xiaojian Lu
PY  - 2016/06
DA  - 2016/06
TI  - The model of the influence for the public interests based on Markov chain
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1440
EP  - 1443
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.294
DO  - 10.2991/mmebc-16.2016.294
ID  - Lu2016/06
ER  -