Concepts
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Contents
1
Datastructures
2
Node-level and link-level indices
2.1
Centrality
2.2
Local density
3
File formats
4
Natural Language Processing
Datastructures
Network
Network collection
Graph
Node-level and link-level indices
Centrality
Degree
Betweenness
Closeness
Current-flow centralities
Eccentricity
Stress
Radiality
Eigenvector centrality
Status
Pagerank
Hubs and authorities
Local density
Clustering coefficient
File formats
comma-separated value tables
GraphML
RSiena session format
Natural Language Processing
CRA Networks
WNA Networks
Parse Trees
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