Community detection in multiplex networks usually relies on edge-based strategies. These strategies try to find an underlying community structure able to represent all the communities at different layers emerging from edges composing the network. Recent studies on community detection in complex networks ...
Multiplex networkscommunity detectionnonnegative matrix tri-factorizationeigengaplow-rank structureNetworks are commonly used to model complex systems. The different entities in the system are represented by nodes of the network and their interactions by edges. In most real life systems, the different ...
Multiplex networks, a special type of multilayer networks, are increasingly applied in many domains ranging from social media analytics to biology. A common task in these applications concerns the detection of community structures. Many existing algorithms for community detection in multiplexes attempt to...
Multiplex networks contain multiple simplex networks. Community detection of multiplex networks needs to deal with information from all the simplex networks. Most approaches aggregate all the links in different simplex networks treating them as being equivalent. However, such aggregation might ignore ...
Constrained Community Detection inMultiplexNetworksConstrained community detection is a kind of community detection taking given constraints into account to improve the accuracy of community detection. Optimizing constrained Hamiltonian is one of the......
Community detection in multiplex networks usually relies on edge-based strategies. These strategies try to find an underlying community structure able to represent all the communities at different layers emerging from edges composing the network. Recent studies on community detection in complex networks ha...
Multiplex Community Detection in Social Networks Using a Chaos-Based Hybrid Evolutionary Approach Network analysis involves using graph theory to understand networks. This knowledge is valuable across various disciplines like marketing, management, epid... ZareiBagher,ArastehBahman,AsadiMehdi,... - 《...
A graph convolutional fusion model for community detection in multiplex networksData Min. Knowl. Discov.2023GCFM[Paper] A novel network core structure extraction algorithm utilized variational autoencoder for community detectionExpert Syst. Appl.2023CSEA[Paper][Code] ...
Layer Clustering-Enhanced Stochastic Block Model for Community Detection in Multiplex NetworksNowadays, multiplex data are often collected, and the study of multiplex-network (MN)s' community detection is a cutting-edge topic. multiplex-network (MN) layers can be grouped by clustering, and......
Kuncheva Z, Montana G (2015) Community detection in multiplex networks using locally adaptive random walks. In: Proceedings of the 2015 IEEE/ACM international conference on advances in social networks analysis and mining 2015, pp 1308–1315 Kuncheva Z, Montana G (2017) Multi-scale community detect...