met.cc: Binary global clustering coefficient
In ANTs: Animal Network Toolkit Software
met.cc R Documentation
Binary global clustering coefficient
Description
Calculates the binary global clustering coefficient.
Usage
met.cc(M)
Arguments
M
a square adjacency matrix.
Details
The binary global clustering coefficient is the ratio of closed triplets to all triplets (open and closed) in a network. Triplets are three nodes connected by two or three undirected links (open or closed triplets, respectively).
Value
An integer representing the binary global clustering coefficient index of the network.
Author(s)
Sebastian Sosa, Ivan Puga-Gonzalez
References
Sosa, S. (2018). Social Network Analysis, in: Encyclopedia of Animal Cognition and Behavior. Springer.
ANTs documentation built on July 3, 2022, 1:05 a.m.
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| met.cc | R Documentation |
Binary global clustering coefficient
Description
Calculates the binary global clustering coefficient.
Usage
met.cc(M)
Arguments
M |
a square adjacency matrix. |
Details
The binary global clustering coefficient is the ratio of closed triplets to all triplets (open and closed) in a network. Triplets are three nodes connected by two or three undirected links (open or closed triplets, respectively).
Value
An integer representing the binary global clustering coefficient index of the network.
Author(s)
Sebastian Sosa, Ivan Puga-Gonzalez
References
Sosa, S. (2018). Social Network Analysis, in: Encyclopedia of Animal Cognition and Behavior. Springer.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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