Category
page 1Network analysis
hierarchical clustering
method of cluster analysis which seeks to build a hierarchy of clusters
clustering coefficient
number defined from a node-link network quantifying how likely it is that two neighbors of a randomly chosen node will be adjacent

centrality
In graph theory and network analysis, indicators of centrality assign numbers or rankings to nodes within a graph corresponding to their network position. Applications include identifying the most influential person(s) in a social network, key infrastructure nodes in the Internet or urban networks, super-spreaders of disease, and brain networks. Centrality concepts were first developed in social network analysis, and many of the terms used to measure centrality reflect their sociological origin. Over time, the concept has expanded substantially, leading to the development of hundreds of distin
Girvan–Newman algorithm
Community detection algorithm
Event chain methodology
network analysis technique