edges

问题 I have the following data in R Data_I_Have <- data.frame( "Node_A" = c("John", "John", "John", "Peter", "Peter", "Peter", "Tim", "Kevin", "Adam", "Adam", "Xavier"), "Node_B" = c("Claude", "Peter", "Tim", "Tim", "Claude", "Henry", "Kevin", "Claude", "Tim", "Henry", "Claude"), " Place_Where_They_Met" = c("Chicago", "Boston", "Seattle", "Boston", "Paris", "Paris", "Chicago", "London", "Chicago", "London", "Paris"), "Years_They_Have_Known_Each_Other" = c("10", "10", "1", "5", "2", "8", "7", "10",

问题 I've been looking at the Gremlin graph language, and it appears very powerful. However, whilst running through what it can do to evaluate it against requirements, I came across a case that I can't seem to complete. Assuming Gremlin is started, and using its example database: gremlin> g = TinkerGraphFactory.createTinkerGraph() ... gremlin> g.V.out('knows') ==>v[2] ==>v[4] So this shows vertices that have an edge of 'knows'. However, I want to find vertices that do not have edges of 'knows'.

问题 I use these algorithms in python for finding connected components from edges. components = [] def connected_components(pairs): for a, b in pairs: for component in components: if a in component: for i, other_component in enumerate(components): if b in other_component and other_component != component: # a, and b are already in different components: merge component.extend(other_component) components[i:i+1] = [] break # we don't have to look for other components for b else: # b wasn't found in

问题 I use these algorithms in python for finding connected components from edges. components = [] def connected_components(pairs): for a, b in pairs: for component in components: if a in component: for i, other_component in enumerate(components): if b in other_component and other_component != component: # a, and b are already in different components: merge component.extend(other_component) components[i:i+1] = [] break # we don't have to look for other components for b else: # b wasn't found in

问题 I use these algorithms in python for finding connected components from edges. components = [] def connected_components(pairs): for a, b in pairs: for component in components: if a in component: for i, other_component in enumerate(components): if b in other_component and other_component != component: # a, and b are already in different components: merge component.extend(other_component) components[i:i+1] = [] break # we don't have to look for other components for b else: # b wasn't found in

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

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

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