graph-algorithm

Implementing Bron–Kerbosch algorithm in python

老子叫甜甜 提交于 2019-12-03 16:14:44
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) , but my code doesn't yield all the answers after testing it on the Wikipedia's example , my code so far is : # dealing with a graph as list of lists graph = [[0,1,0,0,1,0],[1,0,1,0,1,0],[0,1,0,1,0,0],[0,0,1,0,1,1],[1,1,0,1,0,0],[0,0,0,1,0,0]] #function determines the neighbors of a given vertex def N(vertex): c = 0 l = [] for i in graph[vertex]: if i is 1 : l.append(c) c+=1 return l #the Bron-Kerbosch

Finding edge connectivity of a network by using Maximum Flow algorithm

ε祈祈猫儿з 提交于 2019-12-03 14:12:06
I want to find the edge connectivity (i.e. minimum number of edges to remove to disconnect a graph) of an undirected graph using maximum flow algorithms (Edmond Karp / Ford-Fulkerson algorithms) , I know that I can accomplish this task by finding the minimum maximum flow between every two nodes of a graph , but this would result O(|V| ^ 2) number of flow networks , int Edge-Connectivity(Graph G){ int min = infinite; for (Vertex u: G.V){ for (Vertex v: G.V){ if (u != v){ //create directed graph Guv (a graph with directed edges and source u and sink v) //run Edmonds-Karp algorithm to find the

Divide-And-Conquer Algorithm for Trees

北城以北 提交于 2019-12-03 13:30:31
I am trying to write a divide & conquer algorithm for trees. For the divide step I need an algorithm that partitions a given undirected Graph G=(V,E) with n nodes and m edges into sub-trees by removing a node . All subgraphs should have the property that they don't contain more than n/2 nodes (the tree should be split as equal as possible). First I tried to recursively remove all leaves from the tree to find the last remaining node, then I tried to find the longest path in G and remove the middle node of it. The given graph below shows that both approaches don't work: Is there some working

Finding Connected Components using Hadoop/MapReduce

只谈情不闲聊 提交于 2019-12-03 12:53:31
问题 I need to find connected components for a huge dataset. (Graph being Undirected) One obvious choice is MapReduce. But i'm a newbie to MapReduce and am quiet short of time to pick it up and to code it myself. I was just wondering if there is any existing API for the same since it is a very common problem in Social Network Analysis? Or atleast if anyone is aware of any reliable(tried and tested) source using which atleast i can get started with the implementation myself? Thanks 回答1: I blogged

What algorithms does D3.js use for the force-directed graph?

余生颓废 提交于 2019-12-03 12:34:38
I would be interested to know exactly what algorithms D3 uses to achieve the force-directed graph feature in the library. Having read Kobourov's summary of the history of force-directed graphs left me a bit baffled as to what is the exact algorithm or method (combination of algorithms / heuristics) used in the library. D3 API reference says Barnes-Hut algorithm is used to calculate the charges acting on bodies, an O(N*log(N)) operation. Kobourov's article mentions that Quigley-Eades algorithm, and Hu's algorithm are multilevel algorithms that make use of Barnes-Hut. Is one of them utilized in

Meeting scheduling algorithm with Overlapping Time Slots

女生的网名这么多〃 提交于 2019-12-03 09:56:14
问题 I want to do something similar to Appointment scheduling algorithm (N people with N free-busy slots, constraint-satisfaction). using Hopcroft-Karp Algorithm. But my additional requirement is that my time intervals are overlapping. Eg. The time slots can be 10am-11am or 10.15am to 11.15am. So if I choose 10am to 11 am slot, I don't want to choose 10.15 am to 11.15 am slot. Is it possible to achieve this without hitting the performance badly? 回答1: You could use a flow algorithm similar to what

Reverse Breadth First traversal in C#

江枫思渺然 提交于 2019-12-03 09:38:42
问题 Anyone has a ready implementation of the Reverse Breadth First traversal algorithm in C#? By Reverse Breadth First traversal , I mean instead of searching a tree starting from a common node, I want to search the tree from the bottom and gradually converged to a common node. Let's see the below figure, this is the output of a Breadth First traversal : In my reverse breadth first traversal , 9 , 10 , 11 and 12 will be the first few nodes found ( the order of them are not important as they are

How to compute a minimum bottleneck spanning tree in linear time?

こ雲淡風輕ζ 提交于 2019-12-03 08:51:30
问题 We can find a minimum bottleneck spanning tree in O(E log*V) in the worst case by using Kruskal's algorithm. This is because every minimum spanning tree is a minimum bottleneck spanning tree. But I got stuck on this job-interview question from this course. How can we find a minimum bottleneck spanning tree in linear time even in the worst case. Note that we can assume that we can compute the median of n keys in linear time in the worst case. 回答1: Get V , the median of the weights of the |E|

Finding a shortest path that passes through some arbitrary sequence of nodes?

自闭症网瘾萝莉.ら 提交于 2019-12-03 08:51:17
问题 In this earlier question the OP asked how to find a shortest path in a graph that goes from u to v and also passes through some node w. The accepted answer, which is quite good, was to run Dijkstra's algorithm twice - once to get from u to w and once to get from w to v. This has time complexity equal to two calls to Dijkstra's algorithm, which is O(m + n log n). Now consider a related question - you are given a sequence of nodes u 1 , u 2 , ..., u k and want to find the shortest path from u 1

Understanding and building a social network algorithm

不打扰是莪最后的温柔 提交于 2019-12-03 07:54:27
问题 I am not sure whether this is the right platform to ask this question. But my problem statement is : I have a book shop & x no of clients (x is huge). A client can tell me whether a book is a good or bad (not recommended). I have a internal logic to club books together , so if a client says a book is bad, he is saying that similar books are bad too and don't show him that. I oblige and hide those books. Clients can also interact among themselves, and have a mutual confidence level between