About igraph releases and other things
December 19, 2006
This is a new major release, it contains many new things: geometric random graphs, creating a graph with attributes from a data frame in R, local transitivity, etc.
bonpow function ported from SNA to calculate Bonacich power centralityget.adjacency supports attributes now, this means that it sets the
colnames and rownames attributes and can return attribute values in
the matrix instead of 0/1grg.game, geometric random graphsgraph.density, graph density calculationadd.edges or new vertices with add.verticesgraph.data.frame creates graph from data frames, this can be used to
create graphs with edge attributes easilyplot.igraph and tkplot can plot self-loop edges nowgraph.edgelist to create a graph from an edge list, can also handle
edge lists with symbolic namesget.edgelist has now a ‘names’ argument and can return symbolic
vertex names instead of vertex ids, by default id uses the name
vertex attribute is returnedname attribute if present)graph.maxflow, graph.mincutedge.connectivity, vertex.connectivityedge.disjoint.paths,
vertex.disjoint.pathsgraph.adhesion, graph.cohesionas.directed handles attributes nowgraph.adjacencyspinglass.communitygraph.extended.chordal.ring, extended chordal ring generationno.clusters calculates the number of clusters without calculating
the clusters themselvestransitivity can calculate local transitivity as wellneighborhood,
neighborhood.size, graph.neighborhoodpreference.game and
asymmetric.preference.gameigraph_read_graph_graphmligraph_read_graph_graphmlgraph.laplacian when normalized
Laplacian is requestedget.all.shortest.paths in the R package