%0 Journal Article
%T Evolution of Weighted Networks by Duplication--Divergence Mechanism<br>Evolution of Weighted Networks by Duplication-Divergence Mechanism
%A ZHANG Jian-Guo
%A YAN Jia-Ren
%A LIU Zi-Ran
%A WANG Li
%A <br>张建国
%A 颜家壬
%A 刘自然
%A 王俐
%J 中国物理快报
%D 2006
%I 
%X The duplication and divergence process is ubiquitous in nature and man-made networks. Motivated by the duplication-divergence mechanism which depicts the growth of protein networks, we propose a weighted network model in which topological evolution is coupled with weight dynamics. Large scale numerical results indicate that our model can naturally generate networks with power-law-like distributions of degree, strength and weight. The degree-strength correlation is illustrated as well. These properties are in agreement well with empirical data observed in real-world systems. Furthermore, by altering the retention probability δ, weighted, structured exponential networks are realized.
%K 89
%K 75
%K Hc
%K 05
%K 45
%K -a
%K 87
%K 23
%K Kg<br>进化
%K 散度机制
%K 人工网络
%K 非线性物理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=E27DA92E19FE279A273627875A70D74D&aid=306580E7AC554C12E6565E92874E1720&yid=37904DC365DD7266&vid=EA389574707BDED3&iid=5D311CA918CA9A03&sid=48E05C7FFAD0392D&eid=A463D9AC41121DD1&journal_id=0256-307X&journal_name=中国物理快报&referenced_num=0&reference_num=21