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- W2036510441 abstract "The Web 2.0 is the ultimate manifestation of User-Generated Content systems. Such systems contain information of different quality levels. This paper proposes how to measure reputation from social interactions existing in social networks built according to health information. We selected Twitter as a case study, since retweet function can be compared with spreading information mechanism. We provided a new methodology to rank trustworthy sources in a network based on retweet ties which can help authorities and experts about health information on the internet. Additionally, as a secondary contribution, we also perform a study about the scale free characteristics of the explored retweet network." @default.
- W2036510441 created "2016-06-24" @default.
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- W2036510441 date "2014-01-01" @default.
- W2036510441 modified "2023-09-27" @default.
- W2036510441 title "Measuring the Reputation in User-generated-content Systems Based on Health Information" @default.
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- W2036510441 doi "https://doi.org/10.1016/j.procs.2014.05.033" @default.
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