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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chonghui Guo Liang Zhang |
| Copyright Year | 2008 |
| Description | Author affiliation: Inst. of Syst. Eng., Dalian Univ. of Technol., Dalian (Chonghui Guo) |
| Abstract | While considering the preferential attachment mechanism of networks, the classical BA scale-free network model sets the degrees of nodes in networks as the prime factor to decide the probability of the preferential attachment, whereas the affection of other important information of the structure of networks was ignored. The excellent performance of the Google search engine shows that the PageRank, which is defined in the PageRank algorithm, can describe the importance of the nodes in networks better than the degree. In this paper, based on the PageRank algorithm of the Google search engine, we build a new model of growing networks by setting the PageRanks of nodes as the measurement of the probability of preferential attachment, and analyze its prime characters. The results of numerical simulation show that the new model could reflect some important characters of actual networks well. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 143972 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424421077 |
| DOI | 10.1109/WiCom.2008.2675 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-12 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Damping Web pages Search engines Systems engineering and theory Numerical simulation World Wide Web Mathematics Mathematical model IP networks |
| Content Type | Text |
| Resource Type | Article |
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