met | R Documentation |
Graphical user interface for the calculation of node metrics.
met(M, df = NULL, dfid = NULL)
M |
a square adjacency matrix or a list of square adjacency matrices or output from ANT functions of type perm'. |
df |
a data frame of same length as in the input matrix or a list of data frames of same length as the correspondoing matrix in argument M. |
dfid |
an integer or a string indicating the column of individual ids in argument df |
returns the data frame with node network metrics, if weighted =TRUE:
Weighted met.degree (WD)
Weighted met.indegree (WID)
Weighted met.outdegree (WOD)
Weighted met.met.ri (met.met.ri)
Weighted met.evcent (WEi)
Weighted clustering coefficient (WCC)
Weighted closeness (WCL)
Weighted betweenness (WDB)
Weighted betweenness (WUB)
Weighted met.disparity (met.disparity)
if weighted =NULL, it returns binary network metrics:
Binary met.degree (BD)
Binary met.indegree (BID)
Binary met.outdegree (BOD)
Binary met.met.ri (met.met.ri)
Binary met.evcent (BEi)
Binary clustering coefficient (BCC)
Binary closeness (BCL)
Binary betweenness (DBB)
Binary betweenness (UBB)
Binary met.evcent community (e.i. modularity) (BEiM)
Sebastian Sosa, Ivan Puga-Gonzalez
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