Development of a Java program to calculate the fuzzy communities of each vertex of a given graph, using an approach that allows each vertex of the graph to belong to multiple communities at the same time.
Developed by José Ángel Martín Baos for SciCom (Scientific Computing Group) of the University of Castilla-La Mancha in July 2016.
The input data should be the adjacency matrix of the desired graph, and should be stored in a separated file.
- The file
FuzzyClustering_2.javais a improved version of the algoritm that allows parrallel computing. - The method
findCommunities_GCimplements the same functionality of as the methodfindCommunitiesbut using CSR (Compressed Sparse Row) format to represent the adjacency matrix, with the consecuent improvement in the memory, while executing the program.
Alfoso Nino; Sebastián Reyes; José Ángel Martín-Baos; Camelia Muñoz-Caro. A General Approach to Fuzzy Community Detection in Social Networks. International Conference on Computer Communications and Networks (ICCCN). 07/2019. ISSN 1095-2055