General dynamics of topology and traffic on weighted technological networks
| Autor: | Bing-Hong Wang, Qing Ou, Gang Yan, Bo Hu, Wen-Xu Wang |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Degree (graph theory)
Computer science Assortativity Dynamics (mechanics) Complex system FOS: Physical sciences General Physics and Astronomy Disordered Systems and Neural Networks (cond-mat.dis-nn) Condensed Matter - Disordered Systems and Neural Networks Topology Probability distribution Hierarchical network model Topology (chemistry) Clustering coefficient |
| Zdroj: | Physical review letters. 94(18) |
| ISSN: | 0031-9007 |
| Popis: | For most technical networks, the interplay of dynamics, traffic and topology is assumed crucial to their evolution. In this paper, we propose a traffic-driven evolution model of weighted technological networks. By introducing a general strength-coupling mechanism under which the traffic and topology mutually interact, the model gives power-law distributions of degree, weight and strength, as confirmed in many real networks. Particularly, depending on a parameter W that controls the total weight growth of the system, the nontrivial clustering coefficient C, degree assortativity coefficient r and degree-strength correlation are all in consistence with empirical evidences. Comment: 4 pages, 4 figures |
| Databáze: | OpenAIRE |
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