Efficient method for estimating the number of communities in a network
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| Authors | Maria A. Riolo, George T. Cantwell, Gesine Reinert, M. E. J. Newman |
| Journal/Conference Name | Journal of Theoretical Biology |
| Paper Category | Agricultural and Biological Sciences |
| Paper Abstract | While there exist a wide range of effective methods for community detection in networks, most of them require one to know in advance how many communities one is looking for. Here we present a method for estimating the number of communities in a network using a combination of Bayesian inference with a novel prior and an efficient Monte Carlo sampling scheme. We test the method extensively on both real and computer-generated networks, showing that it performs accurately and consistently, even in cases where groups are widely varying in size or structure. |
| Date of publication | 2017 |
| Code Programming Language | C |
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