igraph

问题 I am having a numpy 2D array, with the values representing the weights of edges between nodes. The matrix is symmetric, and I take the diagonal to be zero. I don't find an example of how to convert this matrix into igraph Graph object. I've tried the following approach, but it doesn't work: import numpy as np import igraph def symmetrize(a): return a + a.T - 2*np.diag(a.diagonal()) A = symmetrize(np.random.random((100,100))) G = igraph.Graph.Adjacency(A.tolist()) 回答1: Use Graph.Weighted

问题 I'm using Jupyter Notebook and trying to make graphs of igraph appear on matplotlib plots. I've found that one of possible solutions is to create GraphArtist class class that draws igraph graphs but, unfortunately, only Cairo-based backends are supported. When I try to use it, no plot is displayed import matplotlib matplotlib.use("cairo") fig = plt.figure() ax = plt.gca() plt.plot(range(10), [i**1.5 for i in range(10)]) #a simplified version of my diagram plt.show() and I get this warning:

问题 I'm using Jupyter Notebook and trying to make graphs of igraph appear on matplotlib plots. I've found that one of possible solutions is to create GraphArtist class class that draws igraph graphs but, unfortunately, only Cairo-based backends are supported. When I try to use it, no plot is displayed import matplotlib matplotlib.use("cairo") fig = plt.figure() ax = plt.gca() plt.plot(range(10), [i**1.5 for i in range(10)]) #a simplified version of my diagram plt.show() and I get this warning:

问题 I am using the fastgreedy.community detection algorithm in igraph to produce communities in R. The code returns 12 communities, however they are difficult to indentify when plotting because it returns a plot with a limited number of colours. How can I plot this graph with tweleve distinct colours? l2 <- layout.fruchterman.reingold(largest.component) ebc.g05 <- fastgreedy.community(largest.component) plot(largest.component, layout=l2, vertex.color=membership(ebc.g05), vertex.size=2, vertex

问题 I am using the fastgreedy.community detection algorithm in igraph to produce communities in R. The code returns 12 communities, however they are difficult to indentify when plotting because it returns a plot with a limited number of colours. How can I plot this graph with tweleve distinct colours? l2 <- layout.fruchterman.reingold(largest.component) ebc.g05 <- fastgreedy.community(largest.component) plot(largest.component, layout=l2, vertex.color=membership(ebc.g05), vertex.size=2, vertex

问题 So I have run louvain detection on my dataset and returns a bunch of communities with nodes included. My question is, given a node, how do you find which community it belongs to? Thanks. 回答1: The community for each node is stored in the membership component of the result. library(igraph) set.seed(1234) G = erdos.renyi.game(16, 0.22) C = cluster_louvain(G) plot(G, vertex.color=rainbow(3,alpha=0.4)[C$membership]) 来源： https://stackoverflow.com/questions/52245816/check-which-community-a-node

问题 So I have run louvain detection on my dataset and returns a bunch of communities with nodes included. My question is, given a node, how do you find which community it belongs to? Thanks. 回答1: The community for each node is stored in the membership component of the result. library(igraph) set.seed(1234) G = erdos.renyi.game(16, 0.22) C = cluster_louvain(G) plot(G, vertex.color=rainbow(3,alpha=0.4)[C$membership]) 来源： https://stackoverflow.com/questions/52245816/check-which-community-a-node

问题 I'm trying to plot a bipartite graph, but with two columns; the function manual states that layout_as_bipartite() "Minimize[s] edge-crossings in a simple two-row (or column) layout for bipartite graphs." Trying with the example, I can only get two row graphs: library(igraph) library(dplyr) # Random bipartite graph inc <- matrix(sample(0:1, 50, replace = TRUE, prob=c(2,1)), 10, 5) g <- graph_from_incidence_matrix(inc) plot(g, layout = layout_as_bipartite, vertex.color=c("green","cyan")[V(g)

问题 I'm trying to rotate the R package based igraph network plot. In the igraph guidebook not enough explanation how to use R code tk_rotate(tkp.id, degree = NULL, rad = NULL) 回答1: For the R package igraph according to the documentation: the tk_rotate rotates the figure, its parameter can be given either in degrees or in radians. Of particular note is the argument tkp.id . Make sure you assign the tkplot window to this value so you can reference it as the tkp.id in the function. tkp.id The id of

问题 I'm trying to rotate the R package based igraph network plot. In the igraph guidebook not enough explanation how to use R code tk_rotate(tkp.id, degree = NULL, rad = NULL) 回答1: For the R package igraph according to the documentation: the tk_rotate rotates the figure, its parameter can be given either in degrees or in radians. Of particular note is the argument tkp.id . Make sure you assign the tkplot window to this value so you can reference it as the tkp.id in the function. tkp.id The id of