similar to: igraph 0.6 released

igraph is a package for graphs and networks. It has a C core and uses a simple and fast graph representation allowing millions of vertices and edges. NEW FEATURES: - We use the ARPACK library for graph related eigenvalue problems, like Page Rank calculation, Kleinberg's hub and authority scores, eigenvector centrality, etc. There is also a generic interface if someone wants to use

igraph is a package for graphs and networks. It has a C core and uses a simple and fast graph representation allowing millions of vertices and edges. NEW FEATURES: - We use the ARPACK library for graph related eigenvalue problems, like Page Rank calculation, Kleinberg's hub and authority scores, eigenvector centrality, etc. There is also a generic interface if someone wants to use

igraph is a package for graphs/networks. It has a C core and uses a simple and fast graph representation allowing millions of vertices and edges. LINKS Release notes for the 0.5.2 version: http://igraph.sourceforge.net/relnotes-0.5.2.html Release notes for the 0.5.1 version: http://igraph.sourceforge.net/relnotes-0.5.1.html Complete list of changes: http://igraph.sourceforge.net/news.html The

igraph is a package for graphs/networks. It has a C core and uses a simple and fast graph representation allowing millions of vertices and edges. LINKS Release notes for the 0.5.2 version: http://igraph.sourceforge.net/relnotes-0.5.2.html Release notes for the 0.5.1 version: http://igraph.sourceforge.net/relnotes-0.5.1.html Complete list of changes: http://igraph.sourceforge.net/news.html The

Hello: I've been trying for days now to get igraph working on a debian sarge install. There does not appear to be any pre-built packages, and when I try and install within R, it blows up on the final linking, claiming its unable to find libgfortran (which IS installed, and IS working for all other users of the compiler). I started up R and ran: install.packages("igraph"). It

I am getting some unexpected results from some functions of igraph and it is possible that I am misinterpreting the vertex numbers. Eg., the max betweenness measure seems to be from a vertex that is not connected to a single other vertex. Below if my code snippet: require(igraph) my.graph <- graph.adjacency(adjmatrix = my.adj.matrix, mode=c("undirected")) most.between.vert <-

Hi everyone, I have successfully created and analyzed my network data. I am new to R, and Network Analysis too, but I want to color my vertex based on some of the centrality measures calculated. Can someone point me in the right direction? Again, I am new to R, but given how powerful R appears to be, I figure this is probably pretty easy to do, I just wish I could figure it out. Many thanks

Hi to all, I have two graphs with the same number of nodes but with different connectivities and also with a different number of clusters. The two graphs represent the same "system" under different "conditions" and then there is a one-to-one correspondence between a given node in the two graphs. It is correct to use the eigenvector centrality score as a measure of the relevance

Hello All, I have been trying to do bonpow for a while now.Bonpow works for few graphs and for few others it goes out of memory. I did see reply to one of the posting Alph Centrality Crashed in Igraph memory error. The solution in the posting was to use sparse matrix. This is the link of the message. http://lists.gnu.org/archive/html/igraph-help/2008-04/msg00071.html I was able to obtain

I would like to apply network measures (such as betweenness centrality, upper boundedness, etc.) to a weighted graph with non-integer weights, defined by a euclidean distance matrix. The package sna provides the measures that I want to use, but seems only to operate on binary graphs. I have read work by Mark Newman (http://aps.arxiv.org/abs/cond-mat/0407503/), who suggests that a weighted graph

Hi R users, I got warning messages when installing the package, and I pasted the messages below. I checked updates that my R-studio is already the newest version. I don't know how to solve the problem. Thanks for your help. > library(igraph) Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared object

Hello, I'm having trouble getting the igraph package to load on Solaris. I can get igraph to compile and install from a local directory without issues using simply "R CMD INSTALL igraph", however "library(igraph)" from within R gives the following errors: Error in dyn.load(x, as.logical(local), as.logical(now)) : unable to load shared library

Hi, I would like to be able to develop a function to plot an igraph object with lattice (trellis type displays will be usefull for grouping etc). Anyway, I mostly feeble Igraph requires that you convert two columns of data two an igraph object and to be able to plot the graph...I have tried a very, very simplistic (if not naive) approach and surprise, surprise, it didn't work. First of all,

Hi, what does this mean? --8<---------------cut here---------------start------------->8--- > graph <- graph.data.frame(merged[!v,], vertices=ve, directed=FALSE) cedta decided 'igraph' wasn't data.table aware cedta decided 'igraph' wasn't data.table aware cedta decided 'igraph' wasn't data.table aware cedta decided 'igraph' wasn't

Hello, Could you please test the solution at https://stackoverflow.com/questions/45318188/getting-error-in-function-igraph-write-graph-graphml-while-installing-igrap Specifically - install.packages("devtools") library(devtools) install_github("igraph/rigraph") Please let us know if this works Regards, -- Saint Pai On Tue, Oct 10, 2017 at 01:40:53AM +0100, Paul Smith

Been and R-user for about 5 years now in an industrial setting, and always find the mailing list most helpful. I have run into problem compiling igraph on R. I have contacted the maintainer of igraph, and he has determined that it is not an igraph problem. System is FreeBSD 7.2, R-2.10.1 [also have a sandbox machine running FreeBSD 7.3, R-2.11]. Both machines fail the installation of igraph.

Hi! I want to use R for network analysis and have tried to install the 'igraph' package. Unfortunately, the installation is aborted by an error: --snip-- gcc -std=gnu99 -I/usr/lib64/R/include -DNDEBUG -I/usr/local/include -DUSING_R -I. -Ics -Iglpk -Iglpk/amd -Iglpk/colamd -I/usr/local/include -fmessage-length=0 -O2 -Wall -D_FORTIFY_SOURCE=2 -fstack-protector -funwind-tables

I have R 2.15.0 running under Windows 7. I installed the igraph 0.5.4 package from a zip file. When I attempt to load igraph using "library(igraph)", I get the error package igraph is not installed for arch=x64.  When I repeat this using the 32-bit version of R, I get the same basic error but with "arch=i386" instead of x64. [[alternative HTML version deleted]]

Dear R users, I'm using graph library to create a mesh-like network topology and implement a load balance routing algorithm. The current implementation uses graph, RBGL, and Rgraphviz libraries. I have a few attributes on every edge to represent the network loading and capacity, and I frequently update these values. However, I found it works so slow and right now I'm consider rewriting it

Hard to follow data analysis without data. Try making your example reproducible [1][2][3] and post in plain text (a setting in your emailer). Read the Posting Guide mentioned in the footer to avoid other posting pitfalls. [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2] http://adv-r.had.co.nz/Reproducibility.html [3]