Literature DB >> 21230355

Rich-club connectivity dominates assortativity and transitivity of complex networks.

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:  

Mesh:

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


  15 in total

1.  Elites in social networks: An axiomatic approach to power balance and Price's square root law.

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2.  Structural network maturation of the preterm human brain.

Authors:  Tengda Zhao; Virendra Mishra; Tina Jeon; Minhui Ouyang; Qinmu Peng; Lina Chalak; Jessica Lee Wisnowski; Roy Heyne; Nancy Rollins; Ni Shu; Hao Huang
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3.  Rich-club reorganization of functional brain networks in acute mild traumatic brain injury with cognitive impairment.

Authors:  Fengfang Li; Yin Liu; Liyan Lu; Song'an Shang; Huiyou Chen; Nasir Ahmad Haidari; Peng Wang; Xindao Yin; Yu-Chen Chen
Journal:  Quant Imaging Med Surg       Date:  2022-07

4.  Normalization effect of levodopa on hierarchical brain function in Parkinson's disease.

Authors:  Tao Guo; Min Xuan; Cheng Zhou; Jingjing Wu; Ting Gao; Xueqin Bai; Xiaocao Liu; Luyan Gu; Ruiqi Liu; Zhe Song; Quanquan Gu; Peiyu Huang; Jiali Pu; Baorong Zhang; Xiaojun Xu; Xiaojun Guan; Minming Zhang
Journal:  Netw Neurosci       Date:  2022-06-01

5.  Disrupted structural and functional rich club organization of the brain connectome in patients with generalized tonic-clonic seizure.

Authors:  Rong Li; Wei Liao; Yibo Li; Yangyang Yu; Zhiqiang Zhang; Guangming Lu; Huafu Chen
Journal:  Hum Brain Mapp       Date:  2016-07-28       Impact factor: 5.038

6.  Rich-club organization of the newborn human brain.

Authors:  Gareth Ball; Paul Aljabar; Sally Zebari; Nora Tusor; Tomoki Arichi; Nazakat Merchant; Emma C Robinson; Enitan Ogundipe; Daniel Rueckert; A David Edwards; Serena J Counsell
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-05       Impact factor: 11.205

7.  Rich-cores in networks.

Authors:  Athen Ma; Raúl J Mondragón
Journal:  PLoS One       Date:  2015-03-23       Impact factor: 3.240

8.  A unifying framework for measuring weighted rich clubs.

Authors:  Jeff Alstott; Pietro Panzarasa; Mikail Rubinov; Edward T Bullmore; Petra E Vértes
Journal:  Sci Rep       Date:  2014-12-01       Impact factor: 4.379

9.  Geometric explanation of the rich-club phenomenon in complex networks.

Authors:  Máté Csigi; Attila Kőrösi; József Bíró; Zalán Heszberger; Yury Malkov; András Gulyás
Journal:  Sci Rep       Date:  2017-05-11       Impact factor: 4.379

10.  Impaired rich club connectivity in unaffected siblings of schizophrenia patients.

Authors:  Guusje Collin; René S Kahn; Marcel A de Reus; Wiepke Cahn; Martijn P van den Heuvel
Journal:  Schizophr Bull       Date:  2013-12-02       Impact factor: 9.306

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