Question: Topic: Social Network Structures ( Graph Algorithms ) Problem: Social networks represent individuals ( nodes ) as clusters of friendships ( edges ) . is

Topic: Social Network Structures (Graph Algorithms)
Problem: Social networks represent individuals (nodes) as clusters of friendships (edges).
is taken. The presence of communities means that a social network graph has stronger connections or interactions than the rest of the network.
Characteristics that define groups of people who have them.
Design a development to detect communities in a social network graph given within the scope of the project.
between. The main goal is to detect each group (community) and nodes within the network.
Nodes within communities have stronger connections than nodes in other communities
The division is carried out in such a way as to have
Procedures: Perform the following operations when designing your algorithm.
1. Intermediate value (between edges) is the shortest value between two nodes over this edge for an edge.
It indicates how frequent the cycle becomes. Calculate the spacers of the buttons on the graph.
2. Having the edges of the highest spacers, explaining the connections on the graph. In this way
You can separate potential parts by changing the graph.
3. Continuous change processes are comprehensive until the state changes according to a certain criterion. Your schedule
It should be able to work for the two different criteria given here.
A. If the number of groups above k rounds remains the same, you will end your update and calculate the total number and
Print the screen of the entire section.
B. When the number of members in one of the communities reaches minimum t, you will end your merge and delete the community.
Print the number and member screens inside the section.
Calculation of Intermediate Cutting Value:
1. BFS process to find node X and the number of shortest paths from node X to each node
perform and assign it as the knotting score.
2. Calculate the edge scores of all names in Graph G and start from step 1 until all nodes are selected.
Repeat the process.
3. Add all the edge credits calculated in step 2 and divide by 2.

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