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- W2568032529 abstract "Complex networks have provided significant strides for understanding complex systems. One of the most relevant features of graphs representing real systems is clustering, or community structure. Those networks play an important role in the dissemination of information and influence. The hubs or influential members may be even more critical to product diffusion and the formation of widespread contagions. In this paper, we will propose a new algorithm for the community detection using influential nodes. Our algorithm uses the network topology to identify influential members, and detect community based on edge similarity named Salton similarity. Our approach doesn't require a priori knowledge of k number of communities in the network." @default.
- W2568032529 created "2017-01-13" @default.
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- W2568032529 date "2016-10-01" @default.
- W2568032529 modified "2023-10-16" @default.
- W2568032529 title "Influentials identification for community detection in complex networks" @default.
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- W2568032529 doi "https://doi.org/10.1109/cist.2016.7805026" @default.
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