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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Sun Lifeng Zhang Yilei Wang |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Computer Science & Technology, Ludong University, Shandong Yantai 264025, China (Li Sun; Lifeng Zhang; Yilei Wang) |
| Abstract | For the node who detect most, its neighbors tends to cut their relationship and setup a new line with other neighbor, this situation fit for real world. This paper puts forward a new pseudo value first algorithm based on tit-for-tat strategy in game theory and studies the network statistic characters with the network nodes unchanged. The simulation results show that the new algorithm cannot change scale free character but can change the maximum value in network and its clustering coefficient. On the other hand, we also study the effect of this new algorithm on network community structure, results show it can optimize the community structure. |
| Starting Page | 4190 |
| Ending Page | 4194 |
| File Size | 590543 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424427222 |
| DOI | 10.1109/CCDC.2009.5192518 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Change detection algorithms Electronic mail Prisoner's Dilemma Game Game theory Sun Statistics Computer science Network topology Tit-for-tat tactics Clustering algorithms Collaboration Complex networks Complex Network |
| Content Type | Text |
| Resource Type | Article |
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