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Our smart local moving (SLM) algorithm is an algorithm for community detection (or clustering) in large networks. The SLM algorithm maximizes a so-called modularity function. The algorithm has been successfully applied to networks with tens of millions of nodes and hundreds of millions of edges. See Links section for more information.

Adjust the following parameters to optimize the algorithm (See the paper for more detail):

WeightAn integer attribute of the edge that will be used as weight parameter
ResolutionThe resolution parameter determines the granularity level at which communities are detected. Use a value above (below) 1.0 if you want to obtain a larger (smaller) number of communities.
Random StartNumber of random starts
IterationsNumber of iterations per random start
Random SeedSeed of the random number generator

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