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Analyzing Twitter User-Generated Content Changes

Analyzing Twitter User-Generated Content Changes

Luca Cagliero, Luigi Grimaudo, Alessandro Fiori
Copyright: © 2013 |Pages: 23
ISBN13: 9781466642133|ISBN10: 1466642130|EISBN13: 9781466642140
DOI: 10.4018/978-1-4666-4213-3.ch005
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MLA

Cagliero, Luca, et al. "Analyzing Twitter User-Generated Content Changes." Data Mining in Dynamic Social Networks and Fuzzy Systems, edited by Vishal Bhatnagar, IGI Global, 2013, pp. 87-109. https://doi.org/10.4018/978-1-4666-4213-3.ch005

APA

Cagliero, L., Grimaudo, L., & Fiori, A. (2013). Analyzing Twitter User-Generated Content Changes. In V. Bhatnagar (Ed.), Data Mining in Dynamic Social Networks and Fuzzy Systems (pp. 87-109). IGI Global. https://doi.org/10.4018/978-1-4666-4213-3.ch005

Chicago

Cagliero, Luca, Luigi Grimaudo, and Alessandro Fiori. "Analyzing Twitter User-Generated Content Changes." In Data Mining in Dynamic Social Networks and Fuzzy Systems, edited by Vishal Bhatnagar, 87-109. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-4213-3.ch005

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Abstract

Experiments, performed on real Twitter posts, show the effectiveness and the usability of the proposed system in supporting Twitter user behavior and topic trend analysis.

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