Literature DB >> 21230551

Spectral graph analysis of modularity and assortativity.

P Van Mieghem1, X Ge, P Schumm, S Trajanovski, H Wang.   

Abstract

Expressions and bounds for Newman's modularity are presented. These results reveal conditions for or properties of the maximum modularity of a network. The influence of the spectrum of the modularity matrix on the maximum modularity is discussed. The second part of the paper investigates how the maximum modularity, the number of clusters, and the hop count of the shortest paths vary when the assortativity of the graph is changed via degree-preserving rewiring. Via simulations, we show that the maximum modularity increases, the number of clusters decreases, and the average hop count and the effective graph resistance increase with increasing assortativity.

Year:  2010        PMID: 21230551     DOI: 10.1103/PhysRevE.82.056113

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  3 in total

1.  Modularity-based graph partitioning using conditional expected models.

Authors:  Yu-Teng Chang; Richard M Leahy; Dimitrios Pantazis
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2012-01-12

2.  Network reliability: the effect of local network structure on diffusive processes.

Authors:  Mina Youssef; Yasamin Khorramzadeh; Stephen Eubank
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-11-21

3.  The Language of Innovation.

Authors:  Andrea Tacchella; Andrea Napoletano; Luciano Pietronero
Journal:  PLoS One       Date:  2020-04-30       Impact factor: 3.240

  3 in total

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