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- W2431941623 abstract "Online Question Answering Systems are very popular and helpful for programming community. In these systems, users can post questions, answer the questions, collaboratively tag the questions, and vote for quality answers. This paper implements a link structure-based Top-k Experts and Learners finding algorithm using Stanford Network Analysis Project (SNAP) Library. Experiments are done on real data taken from Stack Overflow that mainly focuses on computer programming and the results show that link analysis techniques are more suitable for analyzing online question answering systems." @default.
- W2431941623 created "2016-06-24" @default.
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- W2431941623 date "2015-09-05" @default.
- W2431941623 modified "2023-10-18" @default.
- W2431941623 title "Mining Community-Based Top-k Experts and Learners in Online Question Answering Systems" @default.
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- W2431941623 doi "https://doi.org/10.1007/978-81-322-2517-1_50" @default.
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