similar to: RFC: 'igraph' package update and backward compatibility

Could someone tell me the difference between igraph and igraph0? I searched the CRAN web site, but cannot find an explantion of the differences. Thanks, Alan [[alternative HTML version deleted]]

I am using the code below to output some network measures: central_social <- data.frame(V(s641_social)$name, indegree_social, outdegree_social, incloseness_social, outcloseness_social, betweenness_social, eigen_social) and I get the following error: Error in Re(z) : non-numeric argument to function I know this has to do with V but I cannot figure out what is wrong. s641-social is a graph

I am having trouble plotting one of my graphs (think graph theory graph with edges and vertices, not scatterplots or histograms). For some pairs of vertices, I want multiple edges to be visible in my graph. As an example of this, in my script below, I want two edges to be visible from vertex 1 and vertex 9 (among some others) yet when I plot it, only one edge is visible.

I am using 'igraph' package to make some graphs of 'gene-gene interaction'. I can get a data.frame which has three columns. gene1 gene2 pvalue AGT MLR 1.2e-04 MLR 11BHSD1 1.71e-05 IFG2 11BHSD2 2.2e-07 . . . . . . . . . AGTR1 NPPA

Hi, I am using 'igraph' to make some plots. The problem I got is that I don't know how to label the nodes with gene names. My sample code: ## suppose I have 100 gene (nodes) ## --------------------------------------------------------------------------- graph <- set.vertex.attribute(graph, "color", value=c(rep(c('green','red'),50))) graph <-

Hi, So I've been figuring out how to use igraph in R and like it for it's speed and simplicity. Now I have a graph built from an edgelist where vectors have a $name attribute. I have another dataframe with attributes tied to a vector ID, which is the same as the $name attribute of vectors represented in the graph. How can I iterate over the graph by V(g)$name and do

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 <-

Hello I am a relatively new user of R and am struggling to use the 'network' package. I have a correlation matrix (produced using 'cor'), and want to draw a network where each item showing correlation above a threshold (say 0.5) is joined by a green line, and each item showing correlation below a threshold (say -0.5) is joined by a red line. Does anyone have any hints of how to

Hi, I've installed the igraph package and have been otherwise using it successfully, but when I try to use graph.bfs I get the error: could not find function "graph.bfs" Moreover, I don't seem to have the documentation installed either. (per ?graph.bfs and ??graph.bfs). I'm using RStudio v0.95.262 on windows 7. Below is the info for my R build: R version 2.14.0

Dear all, I have some network data - about 300 vertices and several thousand edges. I am looking for a way to turn multiple edges into weights of the edges. I looked around and - surprisingly? - haven't found anything. Is there an easy way to do this? Best, Jonas [[alternative HTML version deleted]]

Hello there, I am using the igraph package to build graphs from my data. If I plot a graph though, it's not easy for me to see what's going on. Does anybody know how to rearrange a graph to get a plot without too many crossing lines? Maybe other packages? Thanks a lot in advance for any pointers, -- D --------------------------------- [[alternative

I have a graph with edge and vertex weights, stored in two data frames: --8<---------------cut here---------------start------------->8--- vertices <- data.frame(vertex=c("a","b","c","d"),weight=c(1,2,1,3)) edges <-

I realize that matrix indexing has been addressed in various flavors, but I''m stumped and didn''t find anything in the archives. It''s not clear if it is an igraph issue or a more general problem. Thanks in advance for your patience. I am using igraph to read a gml file (http://www-personal.umich.edu/~mejn/netdata/football.zip ). The gml file contains vertex attributes

Hi, I'm working on some social networks and I managed to create the graphs with labels and edges weight, but I would also like to change the size of the vertices according to the age of the persons in the network and the shape according to the gender. Now for the age, I have people with ages between 20 and 78, and I would like to have 4 categories (sizes): 20-35, 36-50, 50-65, >65. I have

Hi to all, does anybody knows whether there is a package to plot those http://www.equine-science.de/temp/graph.jpg graphs. the thickness of the points and/or the lines should be represent the numbers of behaviours With kind regards Knut

Hi everyone, I am using the fastgreedy.community function to get the $merges matrix and the $modularity vector. This serves my purpose of testing modularity of my graph. But I am "greedy" to plot the heat map and dendrrogram based on the $merges dendogram matrix. I know that heatplot does the graphics part but I am not sure if the dendogram generated by the heatplot will match the one

Hi, Does anyone know of a package in R that has a function to convert network data (e.g. an adjacency matrix or ) from 2-mode to 1-mode? I am conducting social network analysis. I know that Pajek has this function under Net --> Transform --> 2-mode to 1-mode --> Rows. I have searched the documentation under packages 'sna', 'network', 'igraph', and

Hello, I am exporting a graph in "gml" format from igraph 0.5.5. When I open the file in Cytoscape v.2.7 I can't map the color attribute that I assign to the graph when I export it from igraph. Could anyone help me in this? Thanks. -- Warm Regards, Sandeep Amberkar BioQuant,BQ26, Im Neuenheimer Feld 267, D-69120,Heidelberg Tel: +49-6221-5451354 [[alternative HTML version

Hi all, I want to find all the mappings of one graph in another graph, based on their vertex labels Is there any way to do this in igraph based on vertex labels. (as far as i know Igraph allows the subgraph isomorphism based only on vertex and edge colors) Eg: graph 1: x(1) x(2) x(2) y(3) y(4) x(1) z(5) x(2) graph 2: x(1) y(2) # the brackets contain the corresponding vertex ids i would like my

Dear list, Does anyone know how to fit the power law distribution? I have the empirical distribution and would like to check whether it fits power law (with the power estimated from the data). Any hints are appreciated Best regards Galina [[alternative HTML version deleted]]