Oğuz, KayaDoluca, Osman2023-06-162023-06-1620229.78E+12https://doi.org/10.1109/IISEC56263.2022.9998238https://hdl.handle.net/20.500.14365/35633rd International Informatics and Software Engineering Conference, IISEC 2022 -- 15 December 2022 through 16 December 2022 -- 185735APAL is an overlapping community detection algorithm that runs on undirected and unweighted graphs of any size. This study extends the algorithm to weighted networks by incorporating the average weight of the community to the evaluation process of the detected communities. Weighted-APAL (WAPAL) is tested with the established LFR benchmark suite against the weighted version of CPM. The resulting normalized mutual information scores show that it can detect weighted communities with a high rate of success. © 2022 IEEE.eninfo:eu-repo/semantics/closedAccessoverlapping community detectionweighted networksUndirected graphsBenchmark suitesCommunity detection algorithmsHigh rateNormalized mutual informationOverlapping communitiesOverlapping community detectionsUndirected graphUnweighted graphsWeighted networksPopulation dynamicsConference Object10.1109/IISEC56263.2022.99982382-s2.0-85146366704