Signed Eigenvector centralitySource:
returns the eigenvector associated with the dominant eigenvalue from the adjacency matrix.
igraph object with a sign edge attribute.
Logical scalar, whether to scale the result to have a maximum score of one. If no scaling is used then the result vector is the same as returned by
Note that, with negative values, the adjacency matrix may not have a dominant eigenvalue. This means it is not clear which eigenvector should be used. In addition it is possible for the adjacency matrix to have repeated eigenvalues and hence multiple linearly independent eigenvectors. In this case certain centralities can be arbitrarily assigned. The function returns an error if this is the case.
Bonacich, P. and Lloyd, P. (2004). "Calculating Status with Negative Relations." Social Networks 26 (4): 331–38.
Everett, M. and Borgatti, S.P. (2014). "Networks Containing Negative Ties." Social Networks 38: 111–20.
library(igraph) data("tribes") eigen_centrality_signed(tribes) #> This graph was created by an old(er) igraph version. #> Call upgrade_graph() on it to use with the current igraph version #> For now we convert it on the fly... #>  1.00000000 0.88879594 0.71609511 0.36818769 0.74303157 0.95454966 #>  0.76017717 0.67100494 0.21063522 0.23890028 0.69639725 0.91352983 #>  0.23390770 0.05855799 0.91193923 0.98724909