Local clustering coefficient inputs and return values
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@wyatt-joyner-pometry is already working on this.
Since Dec 9, 2024.
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Description
Local clustering coefficient requires as input a graph and a vertex. But in other main libraries like networkx or networkit, the algorithm is executed on the entire graph, with the option to execute on a subset. The return value is always a dictionary.
This is done currently for Pagerank, which is in line with nx and nk. So something like function(G) and function(G,v_or_nodes) should be considered for this function.
Moreover, it would be nice for this approach to be used in other functions such as local_triangle_count and future centralities when implemented.
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