Large-Scale Connectivity vs. Spreading Efficiency: Spectral Analysis on Explosive Percolation

被引:0
|
作者
Chung, N. N.
Chew, L. Y. [2 ]
Lai, Choy Heng [1 ,3 ]
机构
[1] Natl Univ Singapore, Dept Phys, Singapore 119260, Singapore
[2] Nanyang Technol Univ, Div Phys & Appl Phys, Singapore, Singapore
[3] Natl Univ Singapore, Dept Phys & Yale NUS Coll, Singapore, Singapore
关键词
D O I
10.1007/978-94-017-8704-8_7
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Some of the results of a spectral analysis of the process of explosive percolation on complex networks (Chung et al., Europhys Lett 101:66003, 2013) are presented here. More specifically, we explore how the maximum eigenvalues of the adjacency matrix of a network, which governs the spreading efficiency, evolves as the density of network connections are increased. We find that for networks with connectivity that grow in an explosive way, information spreading and mass transport are carried out inefficiently. When we looked into the conventional explosive percolation models, the sudden emergency of large connectivity comes with relatively lowered efficiency of spreading. Nevertheless, the spreading efficiency of the explosive models can be improved by introducing heterogeneous structures into the networks.
引用
收藏
页码:91 / 95
页数:5
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