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Correlations between structure and random walk dynamics in directed complex networks
Author(s) -
Luciano da Fontoura Costa,
Olaf Sporns,
Lucas Antiqueira,
Maria das Graças Volpe Nunes,
Osvaldo N. Oliveira
Publication year - 2007
Publication title -
applied physics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.182
H-Index - 442
eISSN - 1077-3118
pISSN - 0003-6951
DOI - 10.1063/1.2766683
Subject(s) - random walk , complex network , zipf's law , adjacency list , computer science , dynamics (music) , adjacency matrix , statistical physics , complex dynamics , complex system , evolving networks , network structure , topology (electrical circuits) , theoretical computer science , mathematics , artificial intelligence , physics , algorithm , combinatorics , world wide web , graph , mathematical analysis , statistics , acoustics
In this letter the authors discuss the relationship between structure and random walk dynamics in directed complex networks, with an emphasis on identifying whether a topological hub is also a dynamical hub. They establish the necessary conditions for networks to be topologically and dynamically fully correlated (e.g., word adjacency and airport networks), and show that in this case Zipf’s law is a consequence of the match between structure and dynamics. They also show that real-world neuronal networks and the world wide web are not fully correlated, implying that their more intensely connected nodes are not necessarily highly active.

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