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- W3204194552 abstract "A collaborative activity leads to a formation of a lot of information. These activities are usually in a group in any social networking sites. Different social networking sites can form different groups, and different types of information generated from these groups are usually unique. When a lot of people start communicating and sharing ideas in social networking site, it forms a crowd and this crowd lead to some source of information. Here in this paper, the concept is framed. ResearchGate social networking sites for researches are considered. We conducted an experimental analysis on a dataset comprising over ten types of research domains performed by 50 researchers in different institutes. A number of researchers from different institutes working on numerous domains are assembled together for the analysis. The analysis is done through crowdsourcing in a social networking site to fetch information." @default.
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- W3204194552 date "2021-09-29" @default.
- W3204194552 modified "2023-09-23" @default.
- W3204194552 title "Fetching Information Through Crowdsourcing Within a Social Networking Site" @default.
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- W3204194552 doi "https://doi.org/10.1007/978-981-16-4284-5_21" @default.
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