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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yile Yang Kuang Xu Li, V.O.K. |
| Copyright Year | 2011 |
| Abstract | Online social search (OSS) brings forth a new way to harness the Internet for answers. In this paper, we study the non-cooperation problem in OSS. We propose an analytical model that captures the behavior of OSS nodes, and, from a gaming-strategy point of view, analyze various strategies an individual node can utilize to allocate its awareness capacity. Based on this we derive the Pareto inefficiency in terms of the system cost. We also propose an incentive scheme under which the optimal state of individual nodes is also optimal for the whole system. Extensive simulations show that the strategy under our proposed incentive mechanism outperforms other strategies in terms of the system cost and the search success rate. To the best of our knowledge, this is the first study of the tragedy-of-the-commons problem in OSS. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 138960 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781612842325 |
| ISSN | 15503607 |
| e-ISBN | 9781612842332 |
| e-ISBN | 9781612842318 |
| DOI | 10.1109/icc.2011.5963477 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-05 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Peer to peer computing Resource management Nash equilibrium Games Analytical models IEEE Communications Society Economics |
| Content Type | Text |
| Resource Type | Article |
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