graph

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 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 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'm trying to build a C program (that is, I don't have the facilities of the C ++ STL library) that prints the connected components in a non-direct graph. For example, Input: 0 6 0 3 1 5 5 2 Output: 0 -> 6 -> 3 1 -> 5 -> 2 That is, there are two components. So far I've been able to build the code that counts the number of components and what builds the adjacency matrix, but I don't know how to connect the two. First code: #include <stdio.h> #include <stdlib.h> #define MAX 5000 int adj[MAX]

问题 Recently I see this question Bellman Ford and Some Facts as follows: We know the bellman-ford algorithms check all edges in each step , and for each edge if, d(v)>d(u)+w(u,v) was hold then d(v) being updated. w(u,v) is the weight of edge (u, v) and d(u) is the length of best finding path for vertex u . if at any step there is no update for any vertexes , the algorithm terminate . for finding all shortest path from vertex s in graph G with n vertexes this algorithm terminate after k < n