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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qian Wang Wendong Wang Yidong Cui Nan Du Hao Wang |
| Copyright Year | 2010 |
| Description | Author affiliation: State Key Laboratory of Network and Switching Technology, Beijing University of Posts and Telecommunications, China (Qian Wang; Wendong Wang; Yidong Cui; Nan Du; Hao Wang) |
| Abstract | People are considered as important resources nowadays. When we are caught in some problem, how to find a direct or indirect friend, who is professional in the specific field, to help us is the key point. The popularity of social network provides a great platform for the solution of the problem through computer automation. Dijkstra is a classical algorithm for searching the shortest path between two nodes. However, the time complexity is enormous, especially when the network is complex like social networks. A novel algorithm is proposed in the paper for improving the situation. The weight used in the novel algorithm is decided by three-dimensional factors while the Dijkstra algorithm only involves the one for edges in a graph. And we validate that comparing to Dijkstra it is more efficient in both theory and experiment. |
| Starting Page | 524 |
| Ending Page | 528 |
| File Size | 408092 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424467693 |
| e-ISBN | 9781424467723 |
| DOI | 10.1109/ICBNMT.2010.5705145 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mobile social networks (MSN) Improved trust path search Dijkstra algorithm Integrated weight |
| Content Type | Text |
| Resource Type | Article |
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