| Presentation | 2004/12/3 Complex Networks Generated by Only Preferential Rewiring Process Jun OHKUBO, Tsuyoshi HORIGUCHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose a non-growing model with only a preferential rewiring process in order to obtain a network with a scale-free-like property. We assume that each node has a different ability (fitness parameter) to compete for links with other nodes. By applying the proposed rewiring process repeatedly, complex networks are constructed as a steady state. It turns out that the obtained network has a lot of isolated nodes and one giant cluster which has a scale-free-like property. In addition, we show that some of the obtained networks have properties related to real metabolic networks. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | network / scale-free / metabolic / statistical mechanics / rate equation |
| Paper # | NC2004-112 |
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| Committee | NC |
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| Conference Date | 2004/12/3(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Complex Networks Generated by Only Preferential Rewiring Process |
| Sub Title (in English) | |
| Keyword(1) | network |
| Keyword(2) | scale-free |
| Keyword(3) | metabolic |
| Keyword(4) | statistical mechanics |
| Keyword(5) | rate equation |
| 1st Author's Name | Jun OHKUBO |
| 1st Author's Affiliation | Department of Computer and Mathematical Sciences, Graduate School of Information Sciences, Tohoku University() |
| 2nd Author's Name | Tsuyoshi HORIGUCHI |
| 2nd Author's Affiliation | Department of Computer and Mathematical Sciences, Graduate School of Information Sciences, Tohoku University |
| Date | 2004/12/3 |
| Paper # | NC2004-112 |
| Volume (vol) | vol.104 |
| Number (no) | 502 |
| Page | pp.pp.- |
| #Pages | 6 |
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