| Literature DB >> 21230355 |
Xiao-Ke Xu1, Jie Zhang, Michael Small.
Abstract
Rich-club, assortativity and clustering coefficients are frequently used measures to estimate topological properties of complex networks. Here we find that the connectivity among a very small portion of the richest nodes can dominate the assortativity and clustering coefficients of a large network, which reveals that the rich-club connectivity is leveraged throughout the network. Our study suggests that more attention should be paid to the organization pattern of rich nodes, for the structure of a complex system as a whole is determined by the associations between the most influential individuals. Moreover, by manipulating the connectivity pattern in a very small rich-club, it is sufficient to produce a network with desired assortativity or transitivity. Conversely, our findings offer a simple explanation for the observed assortativity and transitivity in many real world networks--such biases can be explained by the connectivities among the richest nodes.Entities:
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Year: 2010 PMID: 21230355 DOI: 10.1103/PhysRevE.82.046117
Source DB: PubMed Journal: Phys Rev E Stat Nonlin Soft Matter Phys ISSN: 1539-3755