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Effective Self Attention Modeling for Aspect Based Sentiment Analysis Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Sockpuppet Detection in Social Network via Propagation Tree

Authors : Jiacheng Li, Wei Zhou, Jizhong Han, Songlin Hu

Published in: Computational Science – ICCS 2019

Publisher: Springer International Publishing

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Abstract

Sockpuppet detection is a valuable and challenging issue in social network. Current works are continually making efforts to detect sockpuppet based on verbal, non-verbal or network-structure features. However, they do not consider the propagation characteristic and propagation structure of sockpuppet. With our observation, the propagation trees of sockpuppet and ordinary account are different. Sockpuppet’ propagation tree is evidently wider and deeper than that of the ordinary one. Based on these observations, we propose a propagation-structure based method to tackle sockpuppet detection problem. The experiment on two real-world datasets of Sina Weibo demonstrates that our method is more robust and outperforms previous methods.

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Footnotes
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Metadata
Title
Sockpuppet Detection in Social Network via Propagation Tree
Authors
Jiacheng Li
Wei Zhou
Jizhong Han
Songlin Hu
Copyright Year
2019
Book
Computational Science – ICCS 2019

Print ISBN: 978-3-030-22749-4

Electronic ISBN: 978-3-030-22750-0

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-22750-0_44

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