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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction

February 1, 2023

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Authors

Haozhe Wu

Tsinghua University


Zhiyuan Hu

Tsinghua University


Jia Jia

Tsinghua University


Yaohua Bu

Tsinghua University


Xiangnan He

University of Science and Technology of China


Tat-Seng Chua

National University of Singapore


DOI:

10.1609/aaai.v34i01.5358


Abstract:

Online Social Networks (OSNs) evolve through two pervasive behaviors: follow and unfollow, which respectively signify relationship creation and relationship dissolution. Researches on social network evolution mainly focus on the follow behavior, while the unfollow behavior has largely been ignored. Mining unfollow behavior is challenging because user's decision on unfollow is not only affected by the simple combination of user's attributes like informativeness and reciprocity, but also affected by the complex interaction among them. Meanwhile, prior datasets seldom contain sufficient records for inferring such complex interaction. To address these issues, we first construct a large-scale real-world Weibo1 dataset, which records detailed post content and relationship dynamics of 1.8 million Chinese users. Next, we define user's attributes as two categories: spatial attributes (e.g., social role of user) and temporal attributes (e.g., post content of user). Leveraging the constructed dataset, we systematically study how the interaction effects between user's spatial and temporal attributes contribute to the unfollow behavior. Afterwards, we propose a novel unified model with heterogeneous information (UMHI) for unfollow prediction. Specifically, our UMHI model: 1) captures user's spatial attributes through social network structure; 2) infers user's temporal attributes through user-posted content and unfollow history; and 3) models the interaction between spatial and temporal attributes by the nonlinear MLP layers. Comprehensive evaluations on the constructed dataset demonstrate that the proposed UMHI model outperforms baseline methods by 16.44 on average in terms of precision. In addition, factor analyses verify that both spatial attributes and temporal attributes are essential for mining unfollow behavior.

Topics: AAAI

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HOW TO CITE:

Haozhe Wu||Zhiyuan Hu||Jia Jia||Yaohua Bu||Xiangnan He||Tat-Seng Chua Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction Proceedings of the AAAI Conference on Artificial Intelligence (2020) 254-261.

Haozhe Wu||Zhiyuan Hu||Jia Jia||Yaohua Bu||Xiangnan He||Tat-Seng Chua Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction AAAI 2020, 254-261.

Haozhe Wu||Zhiyuan Hu||Jia Jia||Yaohua Bu||Xiangnan He||Tat-Seng Chua (2020). Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. Proceedings of the AAAI Conference on Artificial Intelligence, 254-261.

Haozhe Wu||Zhiyuan Hu||Jia Jia||Yaohua Bu||Xiangnan He||Tat-Seng Chua. Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.254-261.

Haozhe Wu||Zhiyuan Hu||Jia Jia||Yaohua Bu||Xiangnan He||Tat-Seng Chua. 2020. Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. "Proceedings of the AAAI Conference on Artificial Intelligence". 254-261.

Haozhe Wu||Zhiyuan Hu||Jia Jia||Yaohua Bu||Xiangnan He||Tat-Seng Chua. (2020) "Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction", Proceedings of the AAAI Conference on Artificial Intelligence, p.254-261

Haozhe Wu||Zhiyuan Hu||Jia Jia||Yaohua Bu||Xiangnan He||Tat-Seng Chua, "Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction", AAAI, p.254-261, 2020.

Haozhe Wu||Zhiyuan Hu||Jia Jia||Yaohua Bu||Xiangnan He||Tat-Seng Chua. "Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.254-261.

Haozhe Wu||Zhiyuan Hu||Jia Jia||Yaohua Bu||Xiangnan He||Tat-Seng Chua. "Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 254-261.

Haozhe Wu||Zhiyuan Hu||Jia Jia||Yaohua Bu||Xiangnan He||Tat-Seng Chua. Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. AAAI[Internet]. 2020[cited 2023]; 254-261.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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