Feedback between node and network dynamics can produce real-world network properties

Physica A: Statistical Mechanics and its Applications

Volumn 391, Issue 24, 2012, Pages 6645-6654

  Brot, Hilla ^a   Muchnik, Lev ^b   Goldenberg, Jacob ^c   Louzoun, Yoram ^a  

^a BAR ILAN UNIVERSITY   (Israel)

^b NEW YORK UNIVERSITY   (United States)

^c HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

Hebbian learning; Neural networks; Scale free; Social networks; Stochastic processes

Indexed keywords

DYNAMICS; RANDOM PROCESSES; SOCIAL NETWORKING (ONLINE); STOCHASTIC SYSTEMS;

CLUSTERING COEFFICIENT; HEBBIAN LEARNING; IN-NETWORK ANALYSIS; NETWORK PROPERTIES; REAL-WORLD NETWORKS; SCALE-FREE; SCALE-FREE DEGREE; TYPICAL PROPERTIES;

NEURAL NETWORKS;

EID: 84865860570     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2012.07.051     Document Type: Article

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