Evolution model for scientific collaboration network with local-world information  

作　　者：TIAN Sheng-wen LIAO Jian-xin WANG Jing-yu QI Qi 

机构地区：[1]State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications [2]School of Information and Electrical Engineering, Ludong University

出　　处：《The Journal of China Universities of Posts and Telecommunications》2014年第2期15-20,31,共7页中国邮电高校学报（英文版）

基　　金：supported by the National Basic Research Program of China(2013CB329102);the National Natural Science Foundation of China(61372120,61271019,61101119,61121001,61072057,60902051);the PCSIRT(IRT1049);the Beijing Higher Education Young Elite Teacher Project(YETP0473)

摘　　要：In order to reveal the intrinsic properties of scientific collaboration networks, a new local-world evolution model on a scientific collaboration network is proposed by analysing the network growth mechanism. The act degree as the measurement of preferential attachment is taken, and the local-world information of nodes is taken into account. Analysis and simulation show that the node degree and the node strength obey the power-law distribution. Low average path length and high clustering coefficient are approved. Experiment indicates that the model can depict efficiently the topological structure and statistical characteristics of real-life scientific collaboration networks.In order to reveal the intrinsic properties of scientific collaboration networks, a new local-world evolution model on a scientific collaboration network is proposed by analysing the network growth mechanism. The act degree as the measurement of preferential attachment is taken, and the local-world information of nodes is taken into account. Analysis and simulation show that the node degree and the node strength obey the power-law distribution. Low average path length and high clustering coefficient are approved. Experiment indicates that the model can depict efficiently the topological structure and statistical characteristics of real-life scientific collaboration networks.

关 键 词：scientific collaboration network evolution model local-world information scale-flee act degree 

分 类 号：O157.5[理学—数学]