Literature DB >> 21808445

Universal fractal scaling of self-organized networks.

Paul J Laurienti1, Karen E Joyce, Qawi K Telesford, Jonathan H Burdette, Satoru Hayasaka.   

Abstract

There is an abundance of literature on complex networks describing a variety of relationships among units in social, biological, and technological systems. Such networks, consisting of interconnected nodes, are often self-organized, naturally emerging without any overarching designs on topological structure yet enabling efficient interactions among nodes. Here we show that the number of nodes and the density of connections in such self-organized networks exhibit a power law relationship. We examined the size and connection density of 47 self-organizing networks of various biological, social, and technological origins, and found that the size-density relationship follows a fractal relationship spanning over 6 orders of magnitude. This finding indicates that there is an optimal connection density in self-organized networks following fractal scaling regardless of their sizes.

Entities:  

Year:  2011        PMID: 21808445      PMCID: PMC3146350          DOI: 10.1016/j.physa.2011.05.011

Source DB:  PubMed          Journal:  Physica A        ISSN: 0378-4371            Impact factor:   3.263


  34 in total

1.  Emergence of scaling in random networks

Authors: 
Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

2.  Truncation of power law behavior in "scale-free" network models due to information filtering.

Authors:  Stefano Mossa; Marc Barthélémy; H Eugene Stanley; Luís A Nunes Amaral
Journal:  Phys Rev Lett       Date:  2002-03-14       Impact factor: 9.161

Review 3.  Scale invariance in biology: coincidence or footprint of a universal mechanism?

Authors:  T Gisiger
Journal:  Biol Rev Camb Philos Soc       Date:  2001-05

4.  Lethality and centrality in protein networks.

Authors:  H Jeong; S P Mason; A L Barabási; Z N Oltvai
Journal:  Nature       Date:  2001-05-03       Impact factor: 49.962

5.  Small-world properties of the Indian railway network.

Authors:  Parongama Sen; Subinay Dasgupta; Arnab Chatterjee; P A Sreeram; G Mukherjee; S S Manna
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-03-14

6.  The emergent properties of a dolphin social network.

Authors:  David Lusseau
Journal:  Proc Biol Sci       Date:  2003-11-07       Impact factor: 5.349

7.  Self-similar community structure in a network of human interactions.

Authors:  R Guimerà; L Danon; A Díaz-Guilera; F Giralt; A Arenas
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-12-17

8.  Community detection in complex networks using extremal optimization.

Authors:  Jordi Duch; Alex Arenas
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2005-08-24

9.  Finding community structure in networks using the eigenvectors of matrices.

Authors:  M E J Newman
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2006-09-11

10.  Robustness of trans-European gas networks.

Authors:  Rui Carvalho; Lubos Buzna; Flavio Bono; Eugenio Gutiérrez; Wolfram Just; David Arrowsmith
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-07-10
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  24 in total

Review 1.  The brain as a complex system: using network science as a tool for understanding the brain.

Authors:  Qawi K Telesford; Sean L Simpson; Jonathan H Burdette; Satoru Hayasaka; Paul J Laurienti
Journal:  Brain Connect       Date:  2011

2.  Connectivity patterns during music listening: Evidence for action-based processing in musicians.

Authors:  Vinoo Alluri; Petri Toiviainen; Iballa Burunat; Marina Kliuchko; Peter Vuust; Elvira Brattico
Journal:  Hum Brain Mapp       Date:  2017-03-28       Impact factor: 5.038

3.  Complexity in a brain-inspired agent-based model.

Authors:  Karen E Joyce; Paul J Laurienti; Satoru Hayasaka
Journal:  Neural Netw       Date:  2012-06-11

4.  Functional brain networks formed using cross-sample entropy are scale free.

Authors:  Walter S Pritchard; Paul J Laurienti; Jonathan H Burdette; Satoru Hayasaka
Journal:  Brain Connect       Date:  2014-07-22

5.  Graph theory analysis of functional brain networks and mobility disability in older adults.

Authors:  Christina E Hugenschmidt; Jonathan H Burdette; Ashley R Morgan; Jeff D Williamson; Stephen B Kritchevsky; Paul J Laurienti
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2014-04-09       Impact factor: 6.053

6.  Anti-Fragmentation of Resting-State Functional Magnetic Resonance Imaging Connectivity Networks with Node-Wise Thresholding.

Authors:  Satoru Hayasaka
Journal:  Brain Connect       Date:  2017-10

7.  Propinquity drives the emergence of network structure and density.

Authors:  Lazaros K Gallos; Shlomo Havlin; H Eugene Stanley; Nina H Fefferman
Journal:  Proc Natl Acad Sci U S A       Date:  2019-09-23       Impact factor: 11.205

8.  A genetic algorithm for controlling an agent-based model of the functional human brain.

Authors:  Karen E Joyce; Satoru Hayaska; Paul J Laurienti
Journal:  Biomed Sci Instrum       Date:  2012

9.  Age-related differences in advantageous decision making are associated with distinct differences in functional community structure.

Authors:  Malaak Nasser Moussa; Michael J Wesley; Linda J Porrino; Satoru Hayasaka; Antoine Bechara; Jonathan H Burdette; Paul J Laurienti
Journal:  Brain Connect       Date:  2014-04-04

10.  Analyzing complex functional brain networks: Fusing statistics and network science to understand the brain*†

Authors:  Sean L Simpson; F DuBois Bowman; Paul J Laurienti
Journal:  Stat Surv       Date:  2013
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