Detection of Sociolinguistic Features in Digital Social Networks for the Detection of Communities
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-021-09818-9
Abstract: The emergence of digital social networks has transformed society, social groups, and institutions in terms of the communication and expression of their opinions. Determining how language variations allow the detection of communities, together with the… read more here.
Keywords: social groups; sociolinguistic features; digital social; social networks ... See more keywords
Comodularity and detection of co-communities.
Sign Up to like & getrecommendations! Published in 2021 at "Physical review. E"
DOI: 10.1103/physreve.104.054309
Abstract: This paper introduces the notion of comodularity, to cocluster observations of bipartite networks into co-communities. The task of coclustering is to group together nodes of one type with nodes of another type, according to the… read more here.
Keywords: comodularity detection; detection communities; comodularity; methodology ... See more keywords
Efficient Detection of Communities in Biological Bipartite Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2017.2765319
Abstract: Methods to efficiently uncover and extract community structures are required in a number of biological applications where networked data and their interactions can be modeled as graphs, and observing tightly-knit groups of vertices (“communities”) can… read more here.
Keywords: communities biological; efficient detection; bipartite networks; detection communities ... See more keywords