Temporal centrality prediction in opportunistic mobile social networks

Huan Zhou, Shouzhi Xu, Chungming Huang

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

In this paper, we focus on predicting nodes’ future importance under three important metrics, namely betweenness, and closeness centrality, using real mobility traces in Opportunistic Mobile Social Networks (OMSNs). Through real trace-driven simulations, we find that nodes’ importance is highly predictable due to natural social behaviour of human. Then, based on the observations in the simulation, we design several reasonable prediction methods to predict nodes’ future temporal centrality. Finally, extensive real trace-driven simulations are conducted to evaluate the performance of our proposed methods. The results show that the Recent Uniform Average method performs best when predicting the future Betweenness centrality, and the Periodical Average Method performs best when predicting the future Closeness centrality in the MIT Reality trace. Moreover, the Recent Uniform Average method performs best in the Infocom 06 trace.

原文English
主出版物標題Internet of Vehicles – Safe and Intelligent Mobility - 2nd International Conference, IOV 2015, Proceedings
編輯Feng Xia, Ching-Hsien Hsu, Xingang Liu, Shangguang Wang
發行者Springer Verlag
頁面68-77
頁數10
ISBN(列印)9783319272924
DOIs
出版狀態Published - 2015
事件2nd International Conference on Internet of Vehicles – Safe and Intelligent Mobility, IOV 2015 - Chengdu, China
持續時間: 2015 十二月 192015 十二月 21

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9502
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Other

Other2nd International Conference on Internet of Vehicles – Safe and Intelligent Mobility, IOV 2015
國家/地區China
城市Chengdu
期間15-12-1915-12-21

All Science Journal Classification (ASJC) codes

  • 理論電腦科學
  • 電腦科學(全部)

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