May 13, 2016 · We propose a graph-based framework over multidimensional user time series for discovering time-sensitive topic-based communities in Twitter.
This paper tackles the problem of detecting temporal content-based user communities from Twitter. Most existing content-based community detection methods ...
This paper tackles the problem of detecting temporal content-based user communities from Twitter. Most existing content-based community detection methods ...
Time-Sensitive Topic-Based Communities on Twitter · List of references · Publications that cite this publication.
This paper tackles the problem of detecting temporal content-based user communities from Twitter. Most existing content-based community detection.
Time-Sensitive Topic-Based Communities on Twitter. H. Fani, F. Zarrinkalam, E. Bagheri, and W. Du. Canadian AI, volume 9673 of Lecture Notes in Computer ...
Chapter: Time-Sensitive Topic-Based Communities on Twitter
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Get details about the chapter of Time-Sensitive Topic-Based Communities on Twitter from book Advances in Artificial Intelligence: 29th Canadian Conference ...
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Sep 9, 2022 · In this paper, we introduce the idea of a time sensitive interaction graph to identify opinion leaders within Twitter conversations.
Abstract. Recently, political events, such as elections, have raised a lot of discussions on social media networks, in particular, Twitter.
This paper tackles the problem of detecting temporal content-based user communities from Twitter. Most existing content-based community detection methods ...