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• W2887620296 abstract "With the rapid expansion of communication data, research about analyzing social networks has become a hotspot. Finding the shortest path (SP) in social networks can help us to investigate the potential social relationships. However, it is an arduous task, especially on large-scale problems. There have been many previous studies on the SP problem, but very few of them considered the peculiarity of social networks. This paper proposed a community structure based method to accelerate answering the SP problem of social networks during online queries. We devise a two-stage strategy to strike a balance between offline pre-computation and online consultations. Our goal is to perform fast and accurate online approximations. Experiments show that our method can instantly return the SP result while satisfying accuracy constraint." @default.
• W2887620296 created "2018-08-22" @default.
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• W2887620296 date "2018-01-01" @default.
• W2887620296 modified "2023-10-06" @default.
• W2887620296 title "Community Structure Based Shortest Path Finding for Social Networks" @default.
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• W2887620296 doi "https://doi.org/10.1007/978-3-319-98809-2_19" @default.
• W2887620296 hasPublicationYear "2018" @default.
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