Analysing the Duration of Trending Topics in Twitter Using Wikipedia
Authors | Tuan A. Tran Mihai Georgescu Xiaofei Zhu Nattiya Kanhabua |
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Publication date | 2014 |
DOI | 10.1145/2615569.2615655 |
Links | Original |
Analysing the Duration of Trending Topics in Twitter Using Wikipedia - scientific work related to Wikipedia quality published in 2014, written by Tuan A. Tran, Mihai Georgescu, Xiaofei Zhu and Nattiya Kanhabua.
Overview
The analysis of trending topics in Twitter is a goldmine for a variety of studies and applications. However, the contents of topics vary greatly from daily routines to major public events, enduring from a few hours to weeks or months. It is thus helpful to distinguish trending topics related to real-world events with those originated within virtual communities. In this paper, authors analyse trending topics in Twitter using Wikipedia as reference for studying the provenance of trending topics. Authors show that among different factors, the duration of a trending topic characterizes exogenous Twitter trending topics better than endogenous ones.
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Wikipedia Quality
Tran, Tuan A.; Georgescu, Mihai; Zhu, Xiaofei; Kanhabua, Nattiya. (2014). "[[Analysing the Duration of Trending Topics in Twitter Using Wikipedia]]".DOI: 10.1145/2615569.2615655.
English Wikipedia
{{cite journal |last1=Tran |first1=Tuan A. |last2=Georgescu |first2=Mihai |last3=Zhu |first3=Xiaofei |last4=Kanhabua |first4=Nattiya |title=Analysing the Duration of Trending Topics in Twitter Using Wikipedia |date=2014 |doi=10.1145/2615569.2615655 |url=https://wikipediaquality.com/wiki/Analysing_the_Duration_of_Trending_Topics_in_Twitter_Using_Wikipedia}}
HTML
Tran, Tuan A.; Georgescu, Mihai; Zhu, Xiaofei; Kanhabua, Nattiya. (2014). "<a href="https://wikipediaquality.com/wiki/Analysing_the_Duration_of_Trending_Topics_in_Twitter_Using_Wikipedia">Analysing the Duration of Trending Topics in Twitter Using Wikipedia</a>".DOI: 10.1145/2615569.2615655.