Breadth-first search (BFS) is an algorithm used for traversing graph data structures. BFS implements a specific strategy for visiting all the nodes (vertices) of a graph. BFS starts with a node, then it checks the neighbours of the initial node, then the neighbours of the neighbours, and so on.
I’ve created a connected graph with 7 nodes and 8 edges. The edges are undirected and unweighted. Distance between two nodes will be measured based on the number of edges separating two vertices. I use the adjacency list to represent the above graph. An effective/elegant method for implementing adjacency lists in Python is using dictionaries. The keys of the dictionary represent nodes, the values have a list of neighbours.
The following screen shot represents representation of the above graph and output shows the result of running Breadth First Search (BFS) algorithm. Can you explain the output? Can you write program in Python ?
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Created and edited by Dr. Ashwin I Mehta at Vissicomp Technology
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