Measuring the Evolution in Society's Information Networks

DOI

10.2991/ameii-16.2016.108How to use a DOI?

Keywords

Network simulation, Topology structure, Machine learning

Abstract

This paper sets up the communication network model to explore social information network's evolution. The communication network model consists of topology structure, communication capacity analysis and topology prediction. Nodes are composed of five kinds of media. Links indicate that there is information dissemination relationship between different nodes. The network communication capabilities are determined by the degree distribution, average degree and average path length of topology structure. It adopts four indexes including GDP, gross enrolment ratio, patent applications and urban population to represent the characteristics of an era, inputs the index data and media market share of media to machine learning and set up topology structure. It uses simulation to study and analyze the evolution of network communications capacities in five periods. After predicting the proportion of each medium in 2050, we obtain the network topology structure. The communication capacity of network will be improved greatly in 2050 by 1.12 times the average degree.

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  - Anran Zheng
PY  - 2016/04
DA  - 2016/04
TI  - Measuring the Evolution in Society's Information Networks
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 540
EP  - 543
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.108
DO  - 10.2991/ameii-16.2016.108
ID  - Zheng2016/04
ER  -