R/S Analysis in Mobile Social Networks
Wei Zheng, Kang Zhao
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.24How to use a DOI?
- MSNs; R/S analysis; clustering coefficient; fractal theory; forecast
- 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.
- 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 -