An improved degree measurement index based on the social network

Lu Dai, Guangming Li

COMPUTER MODELLING & NEW TECHNOLOGIES 2013 17(5C) 155-159

Colledge of computer, Dongguan University of Technology, Dongguan 523808, Dongguan

This paper stems from discussion of the structure of the scientific collaboration network, utilizes t methods of complex network analysis and social network analysis, give out an analysis on the scientific collaboration network from both macro and micro perspectives, and in both dynamic and static way. This paper extracts 16 years of conference proceedings articles from 1995 to 2014 as an experimental data set, with the corresponding network known as collaboration network of data mining. Based on analysis of the classic centrality metric, an improved node centrality metrics (c-index) is proposed, to measure collaboration strength of nodes in a weighted collaboration network.