Dynamic Society's Information Networks Based on the Complex Network Theory and the Dynamics of Infectious Disease: Part2. Model Testing

DOI

10.2991/msmee-17.2017.148How to use a DOI?

Keywords

Monte Carlo Algorithm Hungary Algorithm.

Abstract

The predict communication situation in 2015 is obtained based on the normal distribution of the market share percentage of each kind of information transmission mode. The prediction result is compared with the reality in 2015 then. The comparison result shows that our model have great reliability since the relative error of our predict model is less than 15%.The communication situation around 2050 is predicted according to our model. The prediction result shows that the percentage of Internet, Paper and TV in the information transmission market is 0.82, 0.15 and 0.3 respectively.

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: Part2. Model Testing
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 759
EP  - 762
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.148
DO  - 10.2991/msmee-17.2017.148
ID  - Xu2017/05
ER  -