DocumentCode :
2616610
Title :
A new metric for assortative and disassortative mixing in networks
Author :
Zhou, Huijie ; Mao, Xiaoyan ; Shi, Dinghua
Author_Institution :
Coll. of Sci. & Technol., Ningbo Univ., Ningbo, China
fYear :
2011
fDate :
27-29 June 2011
Firstpage :
1005
Lastpage :
1008
Abstract :
The assortative/disassortative mixing is an important index to study the degree correlation among nodes in networks. This paper discussed Newman correlation coefficient r(g) for the assortative/disassortative mixing and pointed out that the metric was unstable about network´s size and dense degree. Besides, a simple and effective assortative/disassortative metric was put forward for networks, and it was named as mixing coefficient 1(g). The result showed that this metric had more advantages than r(g) or improved R(g).
Keywords :
network theory (graphs); Newman correlation coefficient; assortative mixing; disassortative mixing; mixing coefficient; network dense degree; network size; node degree correlation; Barium; Correlation; Internet; Measurement; Organizations; World Wide Web; assortative/disassortative metric; degree correlation; dense degree; mixing coefficient; network´s size;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
Type :
conf
DOI :
10.1109/CSSS.2011.5974470
Filename :
5974470
Link To Document :
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