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Adjust the following parameters to optimize the algorithm (See the paper for more detail):
| Weight | An integer attribute of the edge that will be used as weight parameter |
| Resolution | The 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 Start | Number of random starts |
| Iterations | Number of iterations per random start |
| Random Seed | Seed of the random number generator |
| Weight | An integer attribute of the edge that will be used as weight parameter |
| Resolution | The 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 Start | Number of random starts |
| Iterations | Number of iterations per random start |
| Random Seed | Seed of the random number generator |
Applications
The directionality of the input network does not matter, so both directed and undirected networks yield the same results.
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