Statistical networks emerging from link-node interactions

被引:12
作者
Allahverdyan, A. E. [1 ]
Petrosyan, K. G. [1 ]
机构
[1] Yerevan Phys Inst, Yerevan 375036, Armenia
来源
EUROPHYSICS LETTERS | 2006年 / 75卷 / 06期
关键词
D O I
10.1209/epl/i2006-10212-8
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We present a network model, where the nodes and links are interacting statistical variables. Each node can be in one of two states (Ising variable), the like nodes tend to link, while the linked nodes tend to be in the same state. The network structure is determined by an effective potential generated by the quickly relaxing nodes, and is measurable via the statistical features of the nodes. For low temperatures the nodes get spontaneously ordered inducing the connectivity enhancement, link-link correlations and clustering. The giant component of the network does appear via a first-order percolation transition leading to bistability and hysteresis.
引用
收藏
页码:908 / 914
页数:7
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