Factors that predict better synchronizability on complex networks

Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics

Volumn 69, Issue 6, 2004, Pages 4-

  Hong, H ^a   Kim, Beom Jun ^b   Choi, M Y ^a,c   Park, Hyunggyu ^a  

^a Korea Institute for Advanced Study   (South Korea)

^b Ajou University   (South Korea)

^c Seoul National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPUTER SIMULATION; OSCILLOMETRY; PROBABILITY; STATISTICAL MODEL; THEORETICAL MODEL;

COMPUTER SIMULATION; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); OSCILLOMETRY; PROBABILITY;

COMPUTER SIMULATION; EIGENVALUES AND EIGENFUNCTIONS; EQUATIONS OF MOTION; MATRIX ALGEBRA; OSCILLATORS (ELECTRONIC); SYNCHRONIZATION; THERMODYNAMICS;

CENTRALITY; COMPLEX NETWORKS; PATH LENGTH; SMALL-WORLD NETWORKS;

LARGE SCALE SYSTEMS;

EID: 42749099223     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.69.067105     Document Type: Article

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