Open AccessA network model with exponential cut-off degree distribution and local-cluster property
Author(s) -
Yuan Shao-qian,
Hai Zhang,
Chao Li,
Xin Zhang
Publication year - 2008
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.57.4805
Subject(s) - degree distribution , cluster (spacecraft) , exponential function , degree (music) , statistical physics , network model , computer science , exponential distribution , distribution (mathematics) , property (philosophy) , clustering coefficient , complex network , physics , cluster analysis , mathematics , artificial intelligence , statistics , mathematical analysis , world wide web , acoustics , programming language , philosophy , epistemology
According to the character of local evolving mechanism in real network, we propose a new local-clustered network evolving model (LC model). Theoretical analysis and numerical simulations show that the LC model obeys a power-law degree distribution with an exponential cut-off, and its cluster coefficient is much bigger than the local-world model (LW model) proposed by Li and Chen and is more, close to real network. We simulate the performance of LC model against random errors and malice attacks, and discover that LC model is more fragile under attacks because of its large cluster coefficient.