edges

问题 I wrote some R code that simulates some graph network based data, creates a graph, removes nodes if there are less than 2 connections and makes it an interactive graph. However, when I plot the graph, I can clearly see that nodes with 0 connections are still there (if nodes with less 2 connections are deleted, this means nodes with 1 connection and 0 connections should also be deleted). Here is a picture that shows nodes with 0 connections have not been deleted: Can someone please tell me

问题 I am trying to find out if node attributes and edge attributes are used during graph network clustering (i.e. community detection algorithms) in R. I could not find an answer, so I decided to write some code for this problem and compare the differences. I first created a file of node attributes and edge attributes - then I created a graph network. On this graph network, I performed the clustering/community detection algorithm. In Method 1, I use the full information from the edges and nodes

问题 I am following the examples over here on using the "statnet" library in http://personal.psu.edu/drh20/papers/v24i09.pdf. The first example shows how to inspect a statnet network object in R: library(statnet) library(network) data("faux.magnolia.high") fmh <- faux.magnolia.high summary(fmh) In the above example, it seems here that the statnet network in this example already has "node attributes". Using the statnet library, does anyone know if there is a way to directly create a network with

问题 I am following the examples over here on using the "statnet" library in http://personal.psu.edu/drh20/papers/v24i09.pdf. The first example shows how to inspect a statnet network object in R: library(statnet) library(network) data("faux.magnolia.high") fmh <- faux.magnolia.high summary(fmh) In the above example, it seems here that the statnet network in this example already has "node attributes". Using the statnet library, does anyone know if there is a way to directly create a network with

来源： https://stackoverflow.com/questions/64849921/r-k-means-clustering-vs-community-detection-algorithms-weighted-correlation-ne

来源： https://stackoverflow.com/questions/64849921/r-k-means-clustering-vs-community-detection-algorithms-weighted-correlation-ne

问题 I want to make a realtime application, which involves finding the edges of a binary mask. I need something fast, without GPU if possible, that runs hopefully below 0.0005 secs per image, with size (1000,1000). I will be using the following example of a binary image ,with size (1000,1000). (Code to replicate:) import numpy as np im=np.zeros((1000,1000),dtype=np.uint8) im[400:600,400:600]=255 Image The first logical way to do things fast was to use the OpenCV library: import cv2 timeit.timeit

问题 I'm using PyDot to generate Graphviz/dot graphs in python. I would like to annotate my nodes and edges with images read from files, I've found in the documentation how to put an image as a node, but not how to put an image under a node or even less an edge. http://www.graphviz.org/doc/info/attrs.html http://www.graphviz.org/doc/info/shapes.html http://www.graphviz.org/Documentation/html/shapehowto.html Does anybody know how to do that? 回答1: You can use HTML in the labels for nodes and edges.

问题 I am trying to add parallel edges between two nodes using NetworkX but it fails with the below error. What am I doing wrong? import networkx as nx import graphviz g1 = nx.MultiGraph() node1 = 'a' node2 = 'b' g1.add_edge(node1,node2,key='one') g1.add_edge(node1,node2,key='two') A = nx.to_agraph(g1) A.add_subgraph() A.draw('test2.png', prog='dot') Error: Traceback (most recent call last): File "test2.py", line 12, in <module> A = nx.to_agraph(g1) File "C:\python27\lib\site-packages\networkx-1

问题 I have a problem with UIPickerView. I have 9 lists and I created a view with 9 buttons. For each button I have associated a flag: when I click a button, a picker appears with the list relating to selected tag. The problem is that when the picker appears, it's in the background and the buttons are seen above the picker. I have solved in this way: when the user clicks a button the others are set as hidden and the picker looks good. There is a better solution to have the picker in the foreground