Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

R/S Analysis in Mobile Social Networks

Authors
Wei Zheng, Kang Zhao
Corresponding Author
Wei Zheng
Available Online December 2016.
DOI
https://doi.org/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.
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Volume Title
Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.24How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - https://doi.org/10.2991/icwcsn-16.2017.24
ID  - Zheng2016/12
ER  -