Title
From Sparse To Dense And From Assortative To Disassortative In Online Social Networks
Abstract
Inspired by the analysis of several empirical online social networks, we propose a simple reaction-diffusion-like coevolving model, in which individuals are activated to create links based on their states, influenced by local dynamics and their own intention. It is shown that the model can reproduce the remarkable properties observed in empirical online social networks; in particular, the assortative coefficients are neutral or negative, and the power law exponents c are smaller than 2. Moreover, we demonstrate that, under appropriate conditions, the model network naturally makes transition(s) from assortative to disassortative, and from sparse to dense in their characteristics. The model is useful in understanding the formation and evolution of online social networks.
Year
DOI
Venue
2013
10.1038/srep04861
SCIENTIFIC REPORTS
Keywords
Field
DocType
bioinformatics,biomedical research
Assortative mixing,Biological evolution,Social network,Computer science,Complex network,Artificial intelligence,Social support
Journal
Volume
ISSN
Citations 
4
2045-2322
5
PageRank 
References 
Authors
0.54
18
8
Name
Order
Citations
PageRank
Menghui Li1194.07
Guan Shuguang2172.65
Xiao-Feng Gong312319.33
Xiao-Feng Gong412319.33
Li Kun5141.14
Jinshan Wu6237.62
Zengru Di714918.49
Choy Heng Lai8506.53