Correlations between structure and random walk dynamics in directed complex networks

被引:29
|
作者
Costa, Luciano da Fontoura
Sporns, Olaf
Antiqueira, Lucas
Nunes, Maria das Gracas Volpe
Oliveira, Osvaldo N., Jr.
机构
[1] Univ Sao Paulo, Inst Fis, BR-13560970 Sao Paulo, Brazil
[2] Indiana Univ, Dept Psychol & Brain Sci, Bloomington, IN 47405 USA
[3] Univ Sao Paulo, Inst Ciencias Matemat & Computacao, BR-13560970 Sao Paulo, Brazil
基金
巴西圣保罗研究基金会;
关键词
D O I
10.1063/1.2766683
中图分类号
O59 [应用物理学];
学科分类号
摘要
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.
引用
收藏
页数:3
相关论文
共 50 条
  • [41] Interpolating between random walk and rotor walk
    Huss, Wilfried
    Levine, Lionel
    Sava-Huss, Ecaterina
    RANDOM STRUCTURES & ALGORITHMS, 2018, 52 (02) : 263 - 282
  • [42] An Improved Random Walk Based Clustering Algorithm for Community Detection in Complex Networks
    Cai, Bingjing
    Wang, Haiying
    Zheng, Huiru
    Wang, Hui
    2011 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2011, : 2162 - 2167
  • [43] A ranking method based on self-avoiding random walk in complex networks
    Duan Jie-Ming
    Shang Ming-Sheng
    Cai Shi-Min
    Zhang Yu-Xia
    ACTA PHYSICA SINICA, 2015, 64 (20)
  • [44] RANDOM WALK ON COMPLEX NETWORKS: FROM INFINITELY SLOW TO THE INSTANTANEOUS TRANSITION TO EQUILIBRIUM
    Hollingshad, Nicholas W.
    Grigolini, Paolo
    Allegrini, Paolo
    DECISION MAKING: A PSYCHOPHYSICS APPLICATION OF NETWORK SCIENCE, 2011, 15 : 99 - 118
  • [45] NAVIGATION IN COMPLEX NETWORKS USING RANDOM WALK THEORY AND PRINCIPAL COMPONENT ANALYSIS
    Gao, Yachun
    Fan, Tao
    Cai, Shimin
    2019 16TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICWAMTIP), 2019, : 349 - 354
  • [46] An improved limited random walk approach for identification of overlapping communities in complex networks
    Sondos Bahadori
    Parham Moradi
    Hadi Zare
    Applied Intelligence, 2021, 51 : 3561 - 3580
  • [47] A local random walk model for complex networks based on discriminative feature combinations
    Song, Aibo
    Liu, Yangyang
    Wu, Zhiang
    Zhai, Mingyu
    Luo, Junzhou
    EXPERT SYSTEMS WITH APPLICATIONS, 2019, 118 : 329 - 339
  • [48] A Markov random walk under constraint for discovering overlapping communities in complex networks
    Jin, Di
    Yang, Bo
    Baquero, Carlos
    Liu, Dayou
    He, Dongxiao
    Liu, Jie
    JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, 2011,
  • [49] An improved limited random walk approach for identification of overlapping communities in complex networks
    Bahadori, Sondos
    Moradi, Parham
    Zare, Hadi
    APPLIED INTELLIGENCE, 2021, 51 (06) : 3561 - 3580
  • [50] Introduction to Complex Networks: Structure and Dynamics
    Estrada, Ernesto
    EVOLUTIONARY EQUATIONS WITH APPLICATIONS IN NATURAL SCIENCES, 2015, 2126 : 93 - 131