Literature DB >> 16383478

Searchability of networks.

M Rosvall1, A Grönlund, P Minnhagen, K Sneppen.   

Abstract

We investigate the searchability of complex systems in terms of their interconnectedness. Associating searchability with the number and size of branch points along the paths between the nodes, we find that scale-free networks are relatively difficult to search, and thus that the abundance of scale-free networks in nature and society may reflect an attempt to protect local areas in a highly interconnected network from nonrelated communication. In fact, starting from a random node, real-world networks with higher order organization like modular or hierarchical structure are even more difficult to navigate than random scale-free networks. The searchability at the node level opens the possibility for a generalized hierarchy measure that captures both the hierarchy in the usual terms of trees as in military structures, and the intrinsic hierarchical nature of topological hierarchies for scale-free networks as in the Internet.

Year:  2005        PMID: 16383478     DOI: 10.1103/PhysRevE.72.046117

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


  8 in total

1.  Resting-brain functional connectivity predicted by analytic measures of network communication.

Authors:  Joaquín Goñi; Martijn P van den Heuvel; Andrea Avena-Koenigsberger; Nieves Velez de Mendizabal; Richard F Betzel; Alessandra Griffa; Patric Hagmann; Bernat Corominas-Murtra; Jean-Philippe Thiran; Olaf Sporns
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-30       Impact factor: 11.205

Review 2.  Communication dynamics in complex brain networks.

Authors:  Andrea Avena-Koenigsberger; Bratislav Misic; Olaf Sporns
Journal:  Nat Rev Neurosci       Date:  2017-12-14       Impact factor: 34.870

3.  Local structure-function relationships in human brain networks across the lifespan.

Authors:  Farnaz Zamani Esfahlani; Joshua Faskowitz; Jonah Slack; Bratislav Mišić; Richard F Betzel
Journal:  Nat Commun       Date:  2022-04-19       Impact factor: 17.694

4.  The Structural and Functional Connectome and Prediction of Risk for Cognitive Impairment in Older Adults.

Authors:  Joey A Contreras; Joaquín Goñi; Shannon L Risacher; Olaf Sporns; Andrew J Saykin
Journal:  Curr Behav Neurosci Rep       Date:  2015-10-29

5.  Inferring neural signalling directionality from undirected structural connectomes.

Authors:  Caio Seguin; Adeel Razi; Andrew Zalesky
Journal:  Nat Commun       Date:  2019-09-19       Impact factor: 14.919

6.  Gradients of structure-function tethering across neocortex.

Authors:  Bertha Vázquez-Rodríguez; Laura E Suárez; Ross D Markello; Golia Shafiei; Casey Paquola; Patric Hagmann; Martijn P van den Heuvel; Boris C Bernhardt; R Nathan Spreng; Bratislav Misic
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-30       Impact factor: 11.205

7.  Verification in referral-based crowdsourcing.

Authors:  Victor Naroditskiy; Iyad Rahwan; Manuel Cebrian; Nicholas R Jennings
Journal:  PLoS One       Date:  2012-10-10       Impact factor: 3.240

8.  Network communication models improve the behavioral and functional predictive utility of the human structural connectome.

Authors:  Caio Seguin; Ye Tian; Andrew Zalesky
Journal:  Netw Neurosci       Date:  2020-11-01
  8 in total

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