Open AccessNetwork model with synchronously increasing nodes and edges based on Web 2.0
Author(s) -
熊菲,
刘云,
司夏萌,
丁飞
Publication year - 2010
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.59.6889
Subject(s) - preferential attachment , degree distribution , degree (music) , scale free network , computer science , clustering coefficient , hierarchical network model , node (physics) , process (computing) , connection (principal bundle) , cluster analysis , average path length , statistical physics , scale (ratio) , topology (electrical circuits) , complex network , theoretical computer science , mathematics , physics , artificial intelligence , graph , combinatorics , world wide web , geometry , quantum mechanics , shortest path problem , acoustics , operating system
We investigate the growing process and topological features of Web 2.0 networks. By analyzing the network’s degree distribution, average degree and time evolution of the node degree of an actual blog on portal website, we found these properties are different from those of the former scale-free network models. According to the growth characteristics of actual networks, we put forward a new type of network with synchronously increasing nodes and edges, including construction algorithms of randomly linking and connection between close neighbours. The simulation results show that the networks generated from our model have power-law degree distribution in case of absence of the preferential attachment process, and the clustering coefficient increases and the connectivity correlations are assortative.