graph-visualization

问题 When drawing a network, it would be nice if the labels of the nodes could also avoid network edges. E.g. in the example below, it would be possible to move all the labels outside the network. I've tried several packages, but so far have not found even a hacky way to do that. Is there a way? Example below: library(ggraph) library(tidygraph) reprex <- tibble(to = sample(1:10, 100,replace=T), from = sample(1:10, 100,replace=T) ) %>% as_tbl_graph() V(reprex)$label1 <- rep("label",10) reprex_plot

问题 import dash import dash_html_components as html import dash_core_components as dcc app = dash.Dash() app.layout = html.Div([ html.Div([ html.Div(dcc.Graph(id='g1', figure={'data': [{'y': [1, 2, 3]}]}), className="six columns",style={"width": 500, "margin": 0}), html.Div(dcc.Graph(id='g2', figure={'data': [{'y': [1, 2, 3]}]}), className="six columns",style={"width": 500, "margin": 0}), ], className="row") ]) if __name__ == '__main__': app.run_server(debug=True) The above code supposed to be

问题 import dash import dash_html_components as html import dash_core_components as dcc app = dash.Dash() app.layout = html.Div([ html.Div([ html.Div(dcc.Graph(id='g1', figure={'data': [{'y': [1, 2, 3]}]}), className="six columns",style={"width": 500, "margin": 0}), html.Div(dcc.Graph(id='g2', figure={'data': [{'y': [1, 2, 3]}]}), className="six columns",style={"width": 500, "margin": 0}), ], className="row") ]) if __name__ == '__main__': app.run_server(debug=True) The above code supposed to be

问题 I have a text contains a graph with more than 3 millions nodes and I need to visualize this graph, I've looked for some tools to help me visualizing this graph but they can visualize up to 100K / 1M nodes. Can anyone suggest a way or tool to visualize such a huge graph ?? 回答1: You will have a hard time visualizing all your graph as a node-link diagram. Tools like Gephi or Cytoscape for example will not help you. Furthermore, if you were to visualize such a huge graph, you would most likely

问题 I have a text contains a graph with more than 3 millions nodes and I need to visualize this graph, I've looked for some tools to help me visualizing this graph but they can visualize up to 100K / 1M nodes. Can anyone suggest a way or tool to visualize such a huge graph ?? 回答1: You will have a hard time visualizing all your graph as a node-link diagram. Tools like Gephi or Cytoscape for example will not help you. Furthermore, if you were to visualize such a huge graph, you would most likely

问题 I've got a graph with many components which I would like to visualize. As a special feature, the node dots of the nodes in the giant component shall scale with their eigenvector centrality. All the other nodes have same size. I use the following script: import networkx as nx import pylab as py import matplotlib.pyplot as plt H = nx.read_gexf(input_file) print nx.info(H) #Name: #Type: Graph #Number of nodes: 719 #Number of edges: 620 #Average degree: 1.7246 # Set draw() parameters node_sizes =

问题 I've got a graph with many components which I would like to visualize. As a special feature, the node dots of the nodes in the giant component shall scale with their eigenvector centrality. All the other nodes have same size. I use the following script: import networkx as nx import pylab as py import matplotlib.pyplot as plt H = nx.read_gexf(input_file) print nx.info(H) #Name: #Type: Graph #Number of nodes: 719 #Number of edges: 620 #Average degree: 1.7246 # Set draw() parameters node_sizes =

问题 I have hundreds of lists (each list corresponds to 1 person). Each list contains 100 strings, which are the 100 friends of that person. I want to 3D visualize this people network based on the number of common friends they have. Considering any 2 lists, the more same strings they have, the closer they should appear together in this 3D graph. I wanted to show each list as a dot on the 3D graph without nodes/connections between the dots. For brevity, I have included only 3 people here. person1 =

问题 I have hundreds of lists (each list corresponds to 1 person). Each list contains 100 strings, which are the 100 friends of that person. I want to 3D visualize this people network based on the number of common friends they have. Considering any 2 lists, the more same strings they have, the closer they should appear together in this 3D graph. I wanted to show each list as a dot on the 3D graph without nodes/connections between the dots. For brevity, I have included only 3 people here. person1 =

问题 I am trying to use the pyvis library to show py network using the following code: import numpy as np import networkx as nx from pyvis.network import Network adjacency_matrix = [[0.5, 0.2, 0.3, 0], [0.1, 0.1, 0, 0.8], [0.3, 0, 0.4, 0.3], [0, 0.2, 0.2, 0.6]] A = np.array(adjacency_matrix) G = nx.from_numpy_matrix(A, create_using=nx.MultiDiGraph) G2 = Network() G2.from_nx(G) G2.show('network_map.html') I am not getting any error but this code is supposed to open a browser with the html file