Analysing the duration of trending topics in twitter using wikipedia
|Analysing the duration of trending topics in twitter using wikipedia|
|Author(s)||Tran T., Georgescu M., Zhu X., Kanhabua N.|
|Published in||WebSci 2014 - Proceedings of the 2014 ACM Web Science Conference|
|Keyword(s)||Temporal analysis, Time series, Twitter, Wikipedia (Extra: Time series, Daily routines, Temporal analysis, Trending topics, Twitter, Wikipedia, Social networking (online))|
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Analysing the duration of trending topics in twitter using wikipedia is a 2014 conference paper written in English by Tran T., Georgescu M., Zhu X., Kanhabua N. and published in WebSci 2014 - Proceedings of the 2014 ACM Web Science Conference.
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 communi- ties. In this paper, we analyse trending topics in Twitter using Wikipedia as reference for studying the provenance of trending topics. We show that among difierent factors, the duration of a trending topic characterizes exogenous Twitter trending topics better than endogenous ones. Copyright
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