R/S Analysis in Mobile Social Networks

DOI

10.2991/icwcsn-16.2017.24How to use a DOI?

Keywords

MSNs; R/S analysis; clustering coefficient; fractal theory; forecast

Abstract

In this paper, a R/S analysis method based on clustering coefficient time series is presented to testify the mobile social networks (MSNs) is fractal and organized. It is found that MSNs are fractal in the scale of clustering coefficient. Then use the Hurst exponent to make some simple forecasts if the clustering coefficient of the network is breaking out in the next period. The result of the experiment verifies that the clustering coefficient time series of complex networks (MSNs) have the characteristics of fractal, and R/S analysis method proves that the cluster coefficient time series is bias random walk, and the results on forecasting the outburst of the clustering coefficient in MSNs meet the expectations.

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  - Wei Zheng
AU  - Kang Zhao
PY  - 2016/12
DA  - 2016/12
TI  - R/S Analysis in Mobile Social Networks
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 109
EP  - 112
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.24
DO  - 10.2991/icwcsn-16.2017.24
ID  - Zheng2016/12
ER  -