About igraph releases and other things
IGraph/M 0.6.0, the Mathematica interface of igraph, is now out! This released is based on the 0.9 series of C/igraph, bringing significant robustness improvements, as well as new features. Some of the highlights are an experimental interactive graph editor, contributed by Kuba Podkalicki, and experimental support for progress reporting. Apple computers based on the ARM architecture (“Apple Silicon”) are now supported.
As always, you can update to the latest version by evaluating the following:
Get["https://raw.githubusercontent.com/szhorvat/IGraphM/master/IGInstaller.m"]
The earliest supported Mathematica version is now 11.0, or 12.2 on the Raspberry Pi.
Please report any issues you may find on GitHub or on our forum.
This version is based on the 0.9 series of C/igraph.
Added:
IGHarmonicCentrality
and IGHarmonicCentralityCutoff
compute the harmonic centrality and range-limited harmonic centrality.IGLinkRank
and IGPersonalizedLinkRank
compute the equivalent of PageRank for edges.IGNeighborhoodCloseness
computes the range-limited closeness centrality, as well as the number of vertices reachable within the given range.IGFamousGraph
exposes the igraph C library’s built-in graph database.IGPreferenceGame
and IGAsymmetricPreferenceGame
create non-growing random graphs based on vertex types.IGReingoldTilford
and IGReingoldTilfordCircular
now support the DirectedEdges
option.IGFruchtermanReingold
now supports constraining the coordinates of a subset of vertices.IGPercolationCurve
for efficiently computing the size of the largest component as a function of mean degree while removing edges.IGShortestPathTree
for computing a shortest path tree rooted in a given vertex.IGGraphEditor
is an experimental interactive graph editor.IGraphM`Progress`
context.Changed:
IGConnectedQ
and IGWeaklyConnectedQ
now consider the null graph to be disconnected; this is consistent with other functions such as IGTreeQ
.IGAveragePathLength
now has a "ByComponents"
option, controlling the handling of disconnected graphs.IGCloseness
now computes the normalized closeness, i.e. the inverse of the mean distance to other vertices, by default. Use Normalized -> False
to get the previous behaviour.IGCloseness
now uses the distances only to reachable vertices when computing the closeness. In undirected disconnected graphs, it effectively computes the closeness per component. For isolated vertices (or sinks in directed graphs) it now returns Indeterminate
.IGBetweenness
and IGBetweennessCentralization
no longer uses the Method
option. The calculations are always fast and precise. The precision has been improved.IGBetweennessEstimate
, IGEdgeBetweennessEstimate
and IGClosenessEstimate
have been renamed to IGBetweennessCutoff
, IGEdgeBetweennessCutoff
and IGClosenessCutoff
.IGRelativeNeighborhoodGraph
now assumes the β -> 2
, β < 2
limit instead of β = 2
.IGGirth
now returns Infinity
for the null graph.IGDiameter
now returns Indeterminate
for the null graph.IGChordalQ
, IGChordalCompletion
and IGMaximumCardinalitySearch
now support non-simple graphs.IGReingoldTilford
and IGReingoldTilfordCircular
use a new automatic root selection algorithm. The root selection heuristic may change in the future without notice. Specify roots manually for a consistent result.IGPotentiallyConnectedQ
no longer supports directed sequences. This feature was flawed in 0.5. It may be re-added in a future version.IGLayoutKamadaKawai
and IGLayoutKamadaKawai3D
perform more iterations by default, and produce more pleasing layouts.IGPersonalizedPageRank
allows specifying the reset weights as an association from vertex names to values.Fixed:
IGPageRank
and IGPersonalizedPageRank
will now warn if the calculation did not converge with the "Arnoldi"
method. This happens only in rare cases.IGPersonalizedPageRank
: the default "PRPACK"
method returned an incorrect result when the graph was not connected and the personalization vector was not uniform.IGVertexMap
would evaluate the mapped functions twice instead of once.IGMaximumCardinalitySearch
returned incorrect ranks for graphs whose vertex names differed from their vertex indices.IGDistanceWeighted
no longer fails on edgeless graphs.IGCallawayTraisGame
no longer rejects zeros in the preference matrix.IGMotifsVertexParticipation
would fail with Mathematica 12.2 or later.Other: