title: An evolving model of undirected networks based on microscopic biological interaction systems.
abstract: With protein or gene interaction systems as the background, this paper proposes an evolving model of biological undirected networks, which are consistent with some plausible mechanisms in biology. Through introducing a rule of preferential duplication of a node inversely proportional to the degree of existing nodes and an attribute of the age of the node (the older, the more influence), by which the probability of a node receiving re-wiring links is chosen, the model networks generated in certain parameter conditions could reproduce series of statistic topological characteristics of real biological graphs, including the scale-free feature, small world effect, hierarchical modularity, limited structural robustness, and disassortativity of degree-degree correlation.
authors: Department of System, Beijing Normal University, Beijing, 100875, People's Republic of China. tanlu198333@gmail.com
authors: Lu
authors: L
authors: Tan
authors: Jianhua
authors: J
authors: Zhang
authors: Lu
authors: L
authors: Jiang