An application of community discovery in academical social networks
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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. https://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.