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.vertices
graph.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.mincut
edge.connectivity
, vertex.connectivity
edge.disjoint.paths
,
vertex.disjoint.paths
graph.adhesion
, graph.cohesion
as.directed
handles attributes nowgraph.adjacency
spinglass.community
graph.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.neighborhood
preference.game
and
asymmetric.preference.game
igraph_read_graph_graphml
igraph_read_graph_graphml
graph.laplacian
when normalized
Laplacian is requestedget.all.shortest.paths
in the R package