nodes

问题 I am using the R programming language and the "igraph" library. I am trying to better understand graph structures for "two mode" graphs (graphs in which there are two types of nodes). In particular, I am trying to understand how to "project" two mode" (to my understanding, these are usually "bipartite") graphs. (https://rpubs.com/pjmurphy/317838) For instance, I created a graph of relationships between "men" and "women". Although this graph has two modes (men and women), I don't think that

问题 The problem is how to calculate the distance between two nodes (concepts) in a Triple Store (RDF) using sparql queries without know the type of edges. Essencially, is to use Dijkstras_algorithm to find the shorter path between two concepts in a Triple Store. It is possible if we know the type of egde: Calculate length of path between nodes? One other solution is to use classes distances(do not work if concepts are not extended from the main classes): Measuring distances among classes in RDF

问题 Using R, I created and plotted a graph: library(igraph) library(igraphdata) data(karate) #cluster cfg <- cluster_fast_greedy(karate) #plot entire graph plot(cfg, karate) #plot first subgraph a = induced_subgraph(karate, cfg[[1]]) plot(a) #plot second subgraph b = induced_subgraph(karate, cfg[[2]]) plot(b) #plot third subgraph c = induced_subgraph(karate, cfg[[3]]) plot(c) Is it possible to write some code that shows which graph is connected to which graph? Example: the green graph is

问题 Using R, I created and plotted a graph: library(igraph) library(igraphdata) data(karate) #cluster cfg <- cluster_fast_greedy(karate) #plot entire graph plot(cfg, karate) #plot first subgraph a = induced_subgraph(karate, cfg[[1]]) plot(a) #plot second subgraph b = induced_subgraph(karate, cfg[[2]]) plot(b) #plot third subgraph c = induced_subgraph(karate, cfg[[3]]) plot(c) Is it possible to write some code that shows which graph is connected to which graph? Example: the green graph is

问题 Using R, I created and plotted a graph: library(igraph) library(igraphdata) data(karate) #cluster cfg <- cluster_fast_greedy(karate) #plot entire graph plot(cfg, karate) #plot first subgraph a = induced_subgraph(karate, cfg[[1]]) plot(a) #plot second subgraph b = induced_subgraph(karate, cfg[[2]]) plot(b) #plot third subgraph c = induced_subgraph(karate, cfg[[3]]) plot(c) Is it possible to write some code that shows which graph is connected to which graph? Example: the green graph is

问题 Using R, I created and plotted a graph: library(igraph) library(igraphdata) data(karate) #cluster cfg <- cluster_fast_greedy(karate) #plot entire graph plot(cfg, karate) #plot first subgraph a = induced_subgraph(karate, cfg[[1]]) plot(a) #plot second subgraph b = induced_subgraph(karate, cfg[[2]]) plot(b) #plot third subgraph c = induced_subgraph(karate, cfg[[3]]) plot(c) Is it possible to write some code that shows which graph is connected to which graph? Example: the green graph is

问题 Using R, I created and plotted a graph: library(igraph) library(igraphdata) data(karate) #cluster cfg <- cluster_fast_greedy(karate) #plot entire graph plot(cfg, karate) #plot first subgraph a = induced_subgraph(karate, cfg[[1]]) plot(a) #plot second subgraph b = induced_subgraph(karate, cfg[[2]]) plot(b) #plot third subgraph c = induced_subgraph(karate, cfg[[3]]) plot(c) Is it possible to write some code that shows which graph is connected to which graph? Example: the green graph is

问题 Using R, I created and plotted a graph: library(igraph) library(igraphdata) data(karate) #cluster cfg <- cluster_fast_greedy(karate) #plot entire graph plot(cfg, karate) #plot first subgraph a = induced_subgraph(karate, cfg[[1]]) plot(a) #plot second subgraph b = induced_subgraph(karate, cfg[[2]]) plot(b) #plot third subgraph c = induced_subgraph(karate, cfg[[3]]) plot(c) Is it possible to write some code that shows which graph is connected to which graph? Example: the green graph is

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 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