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- W3132004199 abstract "The role of social networks in particular Twitter on intentional social action, the relationship between personal networks and patterns of usage are the major concern nowadays. The proposed work is used to explore the human activity behaviour, profiling and their interestingness. Twitter4J is used to obtain an individual specific data. Collection of individual profile is used to exploit the relationship between individuals. Nth friend of individual can be found based on 'likeness' and 'interest' using neighbourhood-based concept. In experimental result, the proposed method gives better result in terms of accuracy and computational time." @default.
- W3132004199 created "2021-03-01" @default.
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- W3132004199 date "2021-01-01" @default.
- W3132004199 modified "2023-10-03" @default.
- W3132004199 title "PREDICTION OF NTH FRIENDS USING SPATIAL DATA MINING IN SOCIAL NETWORKS" @default.
- W3132004199 doi "https://doi.org/10.1504/ijaip.2021.10035808" @default.
- W3132004199 hasPublicationYear "2021" @default.
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