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Has Large-Scale Named-Entity Network Analysis Been Resting on a Flawed Assumption?
Brent D. Fegley,
Vetle I. Torvik
School of Information Sciences
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Keyphrases
Power Law
100%
Network Analysis
100%
Named Entity
100%
Entity Networks
100%
Degree Assortativity
100%
Dramatic Effect
50%
Biomedicine
50%
US Patents
50%
Straight Line
50%
Bibliographic Databases
50%
High Count Rate
50%
Log-log
50%
Error Types
50%
Log-Based
50%
Last Name
50%
PubMed
50%
Name Ambiguity
50%
Author Names
50%
Co-authorship Network
50%
Network Measures
50%
Name Variants
50%
Error Splitting
50%
Co-inventor
50%
Global Clustering Coefficient
50%
Multiple Entities
50%
Average Shortest Path
50%
USPTO
50%
Local Clustering Coefficient
50%
Mathematics
Power Law
100%
Named Entity
100%
Clustering Coefficient
100%
Straight Line
50%
Social Sciences
Technology
100%
Network Analysis
100%
Biomedicine
100%
Psychology
Clustering
100%
Power Law
100%
Computer Science
Clustering Coefficient
100%
coauthorship
50%