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- W2892756152 abstract "The chapter offers detailed solutions in SGL for discovering and analyzing basic features and parameters of social networks, using for demonstrations another well known network topology available on the internet. These include traditional centrality issues like degree centrality, eigenvector centrality, closeness centrality, and betweenness centrality of nodes, with finding best candidates for these roles. Also considered are network clustering, finding strongest subnetworks (like cliques) and weakest (or articulation points), recognizing particular structures with the use of arbitrary complex search and matching patterns which may contain variants and alternatives. Others are dealing with assessment of physical parameters of distributed social networks like finding topological centers of different communities. This may be useful for prediction or/and prevention of possible conflicts between them or, on the opposite, improving integration of the communities into a united social fabric." @default.
- W2892756152 created "2018-10-05" @default.
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- W2892756152 date "2018-09-23" @default.
- W2892756152 modified "2023-09-23" @default.
- W2892756152 title "Social Networks Processing Under SGT" @default.
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- W2892756152 doi "https://doi.org/10.1007/978-3-030-01830-6_5" @default.
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