research-article

Identifying User Identity across Social Network Sites based on Overlapping Relationship and Social Interaction

Authors:

Ning GuAuthors Info & Claims

ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing

Pages 25 - 32

https://doi.org/10.1145/3127404.3127406

Published: 22 September 2017 Publication History

Abstract

Most people have identities on multiple social network sites (SNSs) simultaneously to meet their diverse needs for social media use. User identity identification across SNSs has been a significant research focus in recent years as it is important for comprehending users' online behaviors, conducting precise recommendations, detecting cross-site identity attacks, etc. In this paper, we propose a new method for user identity identification across SNSs by utilizing users' overlapping relationships and corresponding social interactions among different SNSs. In our method, the overlapping relationships are leveraged to generate user identity candidates for each identity to be identified, and the user identity matching procedure is performed based on username, user content, social network as well as social interaction. We conduct experiments by setting Weibo as source SNS and Douban as target SNS as well as Douban as source SNS and Weibo as target SNS respectively. The experimental results indicate our method's better performance on precision, recall, F1-score and accuracy.

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Cited By

Matos POliveira PAlves R(2023)Meta Social Network - Concept, Empirical Validation and Feasibility2023 International Conference on Engineering and Emerging Technologies (ICEET)10.1109/ICEET60227.2023.10525749(1-6)Online publication date: 27-Oct-2023
https://doi.org/10.1109/ICEET60227.2023.10525749
Kerzazi NEl Asri IBerrado ABakkoury ZBouchon-Meunier BRamdani M(2018)Release EngineeringProceedings of the 12th International Conference on Intelligent Systems: Theories and Applications10.1145/3289402.3289547(1-8)Online publication date: 24-Oct-2018
https://dl.acm.org/doi/10.1145/3289402.3289547
Zhao DZheng NXu MYang XXu J(2018)An Improved User Identification Method Across Social Networks Via Tagging Behaviors2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)10.1109/ICTAI.2018.00099(616-622)Online publication date: Nov-2018
https://doi.org/10.1109/ICTAI.2018.00099

Index Terms

Identifying User Identity across Social Network Sites based on Overlapping Relationship and Social Interaction
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing
2. Information systems
  1. World Wide Web
    1. Web applications
      1. Social networks

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Published In

cover image ACM Other conferences

ChineseCSCW '17: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing

September 2017

269 pages

ISBN:9781450353526

DOI:10.1145/3127404

General Chairs:
Zili Zhang,
Ning Gu,
Program Chairs:
Shaozi Li,
Tun Lu,
Li Li

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 September 2017

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ChineseCSCW '17

ChineseCSCW '17: Chinese Conference on Computer Supported Cooperative Work and Social Computing

September 22 - 23, 2017

Chongqing, China

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ChineseCSCW '17 Paper Acceptance Rate 21 of 84 submissions, 25%;

Overall Acceptance Rate 21 of 84 submissions, 25%

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Cited By

Matos POliveira PAlves R(2023)Meta Social Network - Concept, Empirical Validation and Feasibility2023 International Conference on Engineering and Emerging Technologies (ICEET)10.1109/ICEET60227.2023.10525749(1-6)Online publication date: 27-Oct-2023
https://doi.org/10.1109/ICEET60227.2023.10525749
Kerzazi NEl Asri IBerrado ABakkoury ZBouchon-Meunier BRamdani M(2018)Release EngineeringProceedings of the 12th International Conference on Intelligent Systems: Theories and Applications10.1145/3289402.3289547(1-8)Online publication date: 24-Oct-2018
https://dl.acm.org/doi/10.1145/3289402.3289547
Zhao DZheng NXu MYang XXu J(2018)An Improved User Identification Method Across Social Networks Via Tagging Behaviors2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI)10.1109/ICTAI.2018.00099(616-622)Online publication date: Nov-2018
https://doi.org/10.1109/ICTAI.2018.00099

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