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• W2285428181 abstract "In this paper I propose a novel method to model real online social networks where the growing scale-free networks have tunable clustering coefficient independently of the average degree and the exponent of the degree distribution. Models based on purely preferential attachment are not able to describe high clustering coefficient of social networks. Beside the attractive popularity my model is based on the fact that if a person knows somebody, probably knows several individuals from his/her acquaintanceship as well. The topological properties of these complex systems were studied and it was found that in my networks the cliques are relevant independently of the system size as usual in social systems." @default.
• W2285428181 created "2016-06-24" @default.
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• W2285428181 date "2015-01-01" @default.
• W2285428181 modified "2023-09-25" @default.
• W2285428181 title "Scale-Free Network Topologies with Clustering Similar to Online Social Networks" @default.
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• W2285428181 doi "https://doi.org/10.1007/978-3-319-20591-5_29" @default.
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