Matching entities across online social networks

被引:23
|
作者
Peled, Olga [1 ]
Fire, Michael [2 ,3 ]
Rokach, Lior [1 ,4 ]
Elovici, Yuval [1 ,4 ]
机构
[1] Ben Gurion Univ Negev, Dept Informat Syst Engn, IL-84105 Beer Sheva, Israel
[2] Univ Washington, Dept Comp Sci & Engn, Seattle, WA 98195 USA
[3] Univ Washington, eSci Inst, Seattle, WA 98195 USA
[4] Ben Gurion Univ Negev, Telekom Innovat Labs, Beer Sheva, Israel
关键词
Entity matching; Entity resolution; Online social networks; Machine learning; PREDICTION; RESOLUTION; MODEL;
D O I
10.1016/j.neucom.2016.03.089
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Online social networks (OSNs), such as Facebook and Twitter, have become an integral part of our daily lives. There are hundreds of OSNs, and each offers particular services and functionalities. Recent studies show that many OSN users create accounts on multiple OSNs, using the same or different personal information. Collecting all the available data on an individual from several OSNs to fuse into a single profile can provide valuable information. In this paper, we introduce novel machine learning based methods for solving entity resolution (ER), a problem for matching user profiles across multiple OSNs. By using extracted features and Supervised learning techniques, we developed classifiers which can perform entity matching between two profiles for the following scenarios: (a) matching users across two OSNs; (b) searching for a user by similar name; and (c) de-anonymizing a user's identity. The constructed classifiers were tested using data collected from two popular OSNs, Facebook and Xing. We then evaluated the classifiers' performances using measures such as true and false positive rates, accuracy, and the area under the receiver operator curve (AUC). The classification performance measured by AUC was quite remarkable, with an AUC of up to 0.982 and an accuracy of up to 95.9% in identifying user profiles across two OSNs. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:91 / 106
页数:16
相关论文
共 50 条
  • [1] On the Reliability of Profile Matching Across Large Online Social Networks
    Goga, Oana
    Loiseau, Patrick
    Sommer, Robin
    Teixeira, Renata
    Gummadi, Krishna P.
    [J]. KDD'15: PROCEEDINGS OF THE 21ST ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2015, : 1799 - 1808
  • [2] Profile Matching Across Online Social Networks Based on Geo-Tags
    Roedler, Robert
    Kergl, Dennis
    Rodosek, Gabi Dreo
    [J]. ADVANCES IN NATURE AND BIOLOGICALLY INSPIRED COMPUTING, 2016, 419 : 417 - 428
  • [3] Enrichment of User Profiles across Multiple Online Social Networks for Volunteerism Matching for Social Enterprise
    Song, Xuemeng
    [J]. SIGIR'14: PROCEEDINGS OF THE 37TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, 2014, : 1282 - 1282
  • [4] Entity Matching in Online Social Networks
    Peled, Olga
    Fire, Michael
    Rokach, Lior
    Elovici, Yuval
    [J]. 2013 ASE/IEEE INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING (SOCIALCOM), 2013, : 339 - 344
  • [5] Matching User Profiles Across Social Networks
    Bennacer, Nacera
    Jipmo, Coriane Nana
    Penta, Antonio
    Quercini, Gianluca
    [J]. ADVANCED INFORMATION SYSTEMS ENGINEERING (CAISE 2014), 2014, 8484 : 424 - 438
  • [6] Group Identity Matching Across Heterogeneous Social Networks
    Qin, Hongchao
    Yuan, Ye
    Zhu, Feida
    Wang, Guoren
    [J]. WEB INFORMATION SYSTEMS ENGINEERING, WISE 2018, PT I, 2018, 11233 : 230 - 246
  • [7] Research on Entities Matching across Heterogeneous Databases
    Qiang, Bao-hua
    Zhang, Long
    Xi, Jian-qing
    [J]. 2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 10988 - +
  • [8] Efficient Spam Detection across Online Social Networks
    Xu, Hailu
    Sun, Weiqing
    Javaid, Ahmad
    [J]. PROCEEDINGS OF 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA ANALYSIS (ICBDA), 2016, : 225 - 230
  • [9] Relationship Identification Across Heterogeneous Online Social Networks
    He, Jiangning
    Liu, Hongyan
    Lau, Raymond Y. K.
    He, Jun
    [J]. COMPUTATIONAL INTELLIGENCE, 2017, 33 (03) : 448 - 477
  • [10] GeekMAN: Geek-oriented username Matching Across online Networks
    Masud, Md Rayhanul
    Treves, Ben
    Faloutsos, Michalis
    [J]. PROCEEDINGS OF THE 2023 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING, ASONAM 2023, 2023, : 305 - 309