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My application needs a feature to detect whether a directed graph contains circle. Does anyone know any efficient implementation? Which implementation is the best (most efficient)?

Otherwise to detect a circle in a graph , keep track of nodes visited starting from a particular node,(using a set may be helpful) and if u get same node from where you started ,you have detected a circle.

Tarjan's algorithm for detecting cycles will find cycles in O(n+e) time in a directed graph with n vertices and e edges.

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George Lin
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Joined: Jan 11, 2005
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Virag,

Originally posted by Virag Saksena: Tarjan's algorithm for detecting cycles will find cycles in O(n+e) time in a directed graph with n vertices and e edges.

It seems very efficient! But I can not find the algorithm you mentioned from Google by searching key words "Tarjan cycle graph". Could you help to provide more information please?

regards, George

George Lin
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Joined: Jan 11, 2005
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vivekkumar,

Originally posted by vivekkumar sharma: Hi, do bit of Google

I do made a search before I posted this question before. The issue is that, I do not know the name of the algorithm so that I can not find much useful information from Google. Could you help please? :-)

Originally posted by vivekkumar sharma: Otherwise to detect a circle in a graph , keep track of nodes visited starting from a particular node,(using a set may be helpful) and if u get same node from where you started ,you have detected a circle.

I have tried this method. I do not think this method is correct. For example, suppose in a simple graph, there are four nodes, A, B, C, D. The directed graph has the following edges,

A-->B A-->C B-->D C-->D

In this graph, there is no cycle. But when running your method, since node D will be accessed twice both by node B and by node C, the directed graph will be detected cycle by your method.

Maybe I do not quite understand your method, could you provide a simple implementaion of your method please?

I tried to implement a sample implementation with a simple DataStructure "NodeLink" to indicate "From" and "To" vertices of a link.

Following are the steps to approach this problem 1)Make an appropriate data structure to represent the graph, its vertices and node links. 2)Construct partial graphs for each entry in the nodelinks i.e all the vertices approachable from a given vertex. 3)Iterate through the partial graphs constructed to see if any node is visited more than once in a subgraph.

In the program below, I used a hastable to keep track of nodes and the number of times visited count. I would initialize the hashtable with "0 visit counts" for each partial graph.

I hope this helps!

-Praveena

Virag Saksena
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Joined: Nov 27, 2005
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George, You can try searching for robert tarjan strongly connected components in a directed graph If you can't find it, send me a private message, and I'll send you a copy