for a college project I'm trying to implement the Bron–Kerbosch algorithm, that is, listing all maximal cliques in a given graph. I'm trying to implement the first algorithm (without pivoting) , b...

By executing Networkx triadic_census Algorithm, I'm able to get the dictionary of the number of nodes falling on each type of triadic census triad_census_social=nx.triadic_census(social_graph.to_...

I am trying to find all maximal cliques in a graph, without overlapping. the function max_cliques() returns all possible maximal cliques in the graph, but I want every vertex to be included in onl...

I am trying to find maximal cliques for a set of items. Currently I am using networkx library of python and using find_cliques() function to find all the maximal cliques as below: import newtwork...

Given a 2D array of Boolean values I want to find all patterns that consist of at least 2 columns and at least 2 rows. The problem is somewhat close to finding cliques in a graph. In the example b...

Real-world problem: I have data on directors across many firms, but sometimes "John Smith, director of XYZ" and "John Smith, director of ABC" are the same person, sometimes they're not. Also "John...

I have a network that I would like to bound by clique, but I haven't quite figured out how to do this correctly. I am able to do this same process using k-cores, but not sure what the right process...

I would like to know a fast algorithm to find only the clique number(without actually finding the clique) of a graph with about 100 vertices. I am trying to solve the following problem. http://uva...

Can anyone tell me, where on the web I can find an explanation for Bron-Kerbosch algorithm for clique finding or explain here how it works? I know it was published in "Algorithm 457: finding all c...

I need a nice tree decomposition of a graph given an elimination ordering and a chordalization of the graph. My idea is to obtain all cliques in the graph (which I can do) and build a binary tree ...

Semi clustering algorithm is mentioned in the Google Pregel paper. The score of a semi cluster is calculated using the below formula where Ic is sum of the weights of all the internal edges Bc...

In short, my naive code (in Ruby) looks like: # $seen is a hash to memoize previously seen sets # $sparse is a hash of usernames to a list of neighboring usernames # $set is the list of output clu...

I have this problem and I need help with it, this is my code: cliques=[clique for clique in nx.find_cliques(GC) if len(clique)>2] for clique in cliques: if len (clique)==3: GC.remove_edge...

I came across a specific problem and looking for some algorithm for it. The problem to solve is as described below. Let's say we have combinations like below 1 - 3 - 5 1 - 4 - 5 1 - 8 - 5 2 -...