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Power-law weighted networks from local attachments
P. Moriano
, J. Finke
Department of Electronics and Computer Science
Research Group Automatics and Robotics (GAR)
Universidad Javeriana
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Scopus citations
Overview
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Keyphrases
Power Law
100%
Local Attachment
100%
Weighted Network
100%
Analytical Results
50%
Distributed Decision Making
50%
Scaling Exponent
50%
Extended Power
50%
Social Systems
50%
Trademark Office
50%
Clustering Coefficient
50%
Citation Distribution
50%
Collective Dynamics
50%
Engineering Systems
50%
Supreme Court
50%
Patent Grant
50%
Scaling Behavior
50%
Steady-state Property
50%
Institute for Scientific Information
50%
US Patent Office
50%
INIS
distribution
100%
power
100%
substrates
100%
scaling
100%
patents
100%
information
50%
decision making
50%
engineering
50%
dynamics
50%
steady-state conditions
50%
courts
50%
Computer Science
Trademark Office
100%
Substrate Network
100%
Decision-Making
100%
Scaling Exponent
100%
Clustering Coefficient
100%
Scientific Information
100%
United States of America
100%
Social Sciences
Law
100%
USA
50%
Courts
50%
Scientific Information
50%
Engineering
50%
Distributed Decision Making
50%
Psychology
Distributed Decision Making
50%