Although there have been recent extensive research cooperation network and online community, have very limited knowledge of the actual development of online social networks. In the paper, we consider the structural evolution of a large online social networks. The theoretical analysis and simulation results show that, the evolution of the social networks model with scale-free and small-world properties. A new social network is close to the real-world social networks more exactly and can simulate the real-world social networks. It is generated by improving the Barabasi-Albert networks.
%0 Conference Paper
%1 JingKaiYongYing12
%A Jing wei, Deng
%A Kai ying, Deng
%A Yong sheng, Li
%A Ying xing, Li
%B Natural Computation (ICNC), 2012 Eighth International Conference on
%D 2012
%I IEEE
%K citeulike imported
%P 1238--1241
%R 10.1109/icnc.2012.6234572
%T Study on evolution model and simulation based on social networks
%U http://dx.doi.org/10.1109/icnc.2012.6234572
%X Although there have been recent extensive research cooperation network and online community, have very limited knowledge of the actual development of online social networks. In the paper, we consider the structural evolution of a large online social networks. The theoretical analysis and simulation results show that, the evolution of the social networks model with scale-free and small-world properties. A new social network is close to the real-world social networks more exactly and can simulate the real-world social networks. It is generated by improving the Barabasi-Albert networks.
%@ 978-1-4577-2130-4
@inproceedings{JingKaiYongYing12,
abstract = {{Although there have been recent extensive research cooperation network and online community, have very limited knowledge of the actual development of online social networks. In the paper, we consider the structural evolution of a large online social networks. The theoretical analysis and simulation results show that, the evolution of the social networks model with scale-free and small-world properties. A new social network is close to the real-world social networks more exactly and can simulate the real-world social networks. It is generated by improving the Barabasi-Albert networks.}},
added-at = {2017-09-08T10:52:59.000+0200},
author = {Jing wei, Deng and Kai ying, Deng and Yong sheng, Li and Ying xing, Li},
biburl = {https://www.bibsonomy.org/bibtex/20f441d06fd398d3cb8d7920838dd227b/fernand0},
booktitle = {Natural Computation (ICNC), 2012 Eighth International Conference on},
citeulike-article-id = {11846698},
citeulike-linkout-0 = {http://dx.doi.org/10.1109/icnc.2012.6234572},
citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6234572},
doi = {10.1109/icnc.2012.6234572},
institution = {Sch. of Math. \& Comput. Sci., Northwest Univ. for Nat., Lanzhou, China},
interhash = {dd3d69feec0ae4eba0eb1fbcf0142797},
intrahash = {0f441d06fd398d3cb8d7920838dd227b},
isbn = {978-1-4577-2130-4},
issn = {2157-9555},
keywords = {citeulike imported},
month = may,
pages = {1238--1241},
posted-at = {2012-12-16 18:12:25},
priority = {2},
publisher = {IEEE},
timestamp = {2017-09-08T10:53:23.000+0200},
title = {{Study on evolution model and simulation based on social networks}},
url = {http://dx.doi.org/10.1109/icnc.2012.6234572},
year = 2012
}