An application of community discovery in academical social networks
MetadataShow full item record
CitationARSLAN, E., AKYOKUŞ, S., GANİZ, M.C. (2013). An application of community discovery in academical social networks. In IEEE Staff (eds.) 2013 IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA). Albena, Bulgaria, IEEE. http://dx.doi.org/10.1109/INISTA.2013.6577650.
The objective of this study is to discover social communities in a social network using different social network community discovery methods that utilize metrics and structures like degree, clustering coefficient, k-cores, weak and strong components. We have used two different datasets and methods: K-core community discovery method for DBLP dataset and Main Path Analysis method for Arxiv High-energy physics theory citation network. At the end of the analyses, we have obtained several reports that represent the skeleton structure of the communities in the networks.