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2018 | OriginalPaper | Buchkapitel

Incorporating User Grouping into Retweeting Behavior Modeling

verfasst von : Jinhai Zhu, Shuai Ma, Hui Zhang, Chunming Hu, Xiong Li

Erschienen in: Database Systems for Advanced Applications

Verlag: Springer International Publishing

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Abstract

The variety among massive users makes it difficult to model their retweeting activities. Obviously, it is not suitable to cover the overall users by a single model. Meanwhile, building one model per user is not practical. To this end, this paper presents a novel solution, of which the principle is to model the retweeting behavior over user groups. Our system, GruBa, consists of three key components for extracting user based features, clustering users into groups, and modeling upon each group. Particularly, we look into the user interest from different perspectives including long-term/short-term interests and explicit/implicit interests. We have evaluated the performance of GruBa using datasets of real-world social networking applications, showcasing its benefits.

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Vorheriges Kapitel Incremental and Adaptive Topic Detection over Social Media

Nächstes Kapitel Maximizing Social Influence for the Awareness Threshold Model

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Titel: Incorporating User Grouping into Retweeting Behavior Modeling
verfasst von: Jinhai Zhu
Shuai Ma
Hui Zhang
Chunming Hu
Xiong Li
Verlag: Springer International Publishing
Buch: Database Systems for Advanced Applications
Print ISBN: 978-3-319-91451-0

Electronic ISBN: 978-3-319-91452-7

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-91452-7_31

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