Microblogging content propagation modeling using topic-specific behavioral factors
When a microblogging user adopts some content propagated to her, we can attribute that to three behavioral factors, namely, topic virality, user virality, and user susceptibility. Topic virality measures the degree to which a topic attracts propagations by users. User virality and susceptibility ref...
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sg-smu-ink.sis_research-45742020-01-17T14:00:41Z Microblogging content propagation modeling using topic-specific behavioral factors HOANG, Tuan Anh Ee-peng LIM, When a microblogging user adopts some content propagated to her, we can attribute that to three behavioral factors, namely, topic virality, user virality, and user susceptibility. Topic virality measures the degree to which a topic attracts propagations by users. User virality and susceptibility refer to the ability of a user to propagate content to other users, and the propensity of a user adopting content propagated to her, respectively. In this paper, we study the problem of mining these behavioral factors specific to topics from microblogging content propagation data. We first construct a three dimensional tensor for representing the propagation instances. We then propose a tensor factorization framework to simultaneously derive the three sets of behavioral factors. Based on this framework, we develop a numerical factorization model and another probabilistic factorization variant. We also develop an efficient algorithm for the models' parameters learning. Our experiments on a large Twitter dataset and synthetic datasets show that the proposed models can effectively mine the topic-specific behavioral factors of users and tweet topics. We further demonstrate that the proposed models consistently outperforms the other state-of-the-art content based models in retweet prediction over time. 2016-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3573 info:doi/10.1109/TKDE.2016.2562628 https://ink.library.smu.edu.sg/context/sis_research/article/4574/viewcontent/MicrobloggingContentPropagation_2016.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Content propagation Virality Susceptibility User behavior Microblogging Computer Sciences Databases and Information Systems Social Media |
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Content propagation Virality Susceptibility User behavior Microblogging Computer Sciences Databases and Information Systems Social Media HOANG, Tuan Anh Ee-peng LIM, Microblogging content propagation modeling using topic-specific behavioral factors |
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When a microblogging user adopts some content propagated to her, we can attribute that to three behavioral factors, namely, topic virality, user virality, and user susceptibility. Topic virality measures the degree to which a topic attracts propagations by users. User virality and susceptibility refer to the ability of a user to propagate content to other users, and the propensity of a user adopting content propagated to her, respectively. In this paper, we study the problem of mining these behavioral factors specific to topics from microblogging content propagation data. We first construct a three dimensional tensor for representing the propagation instances. We then propose a tensor factorization framework to simultaneously derive the three sets of behavioral factors. Based on this framework, we develop a numerical factorization model and another probabilistic factorization variant. We also develop an efficient algorithm for the models' parameters learning. Our experiments on a large Twitter dataset and synthetic datasets show that the proposed models can effectively mine the topic-specific behavioral factors of users and tweet topics. We further demonstrate that the proposed models consistently outperforms the other state-of-the-art content based models in retweet prediction over time. |
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HOANG, Tuan Anh Ee-peng LIM, |
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HOANG, Tuan Anh Ee-peng LIM, |
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HOANG, Tuan Anh |
title |
Microblogging content propagation modeling using topic-specific behavioral factors |
title_short |
Microblogging content propagation modeling using topic-specific behavioral factors |
title_full |
Microblogging content propagation modeling using topic-specific behavioral factors |
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Microblogging content propagation modeling using topic-specific behavioral factors |
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Microblogging content propagation modeling using topic-specific behavioral factors |
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microblogging content propagation modeling using topic-specific behavioral factors |
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Institutional Knowledge at Singapore Management University |
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2016 |
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https://ink.library.smu.edu.sg/sis_research/3573 https://ink.library.smu.edu.sg/context/sis_research/article/4574/viewcontent/MicrobloggingContentPropagation_2016.pdf |
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