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Content Driven Profile Matching across Online Social Networks

Published: 31 July 2017 Publication History

Abstract

Many publications deal with profile matching across online social networks and the approaches become increasingly complex. Almost all of them rely on common profile attributes like names and hobbies or structural attributes like relations to other user profiles. These approaches require high effort concerning computation, because each profile of one network has to be compared to all profiles of the other network. Complex approaches are not well suited to handle large datasets. Therefore, we present an approach to significantly reduce complexity by exploiting special properties of dataset IDs. We provide a proof of concept by an implementation of the use case of matching user profiles accross Twitter and Instagram. Additionally to the complexity problem of existing approaches, many profiles with similar attributes often lead to a restrictive trade-off between precision and recall of the matching strategy. Furthermore, profile attributes and relationships are not trustworthy, as these are due to arbitrary change by profile owners. In contrast to most existing approaches that rely on user definable attributes, we rather focus on timing properties of user publications across social media platforms. There are already profile matching approaches based on timing patterns. However, these do not aim to reduce complexity, what is a necessary requirement to be applicable to real-world online social networks. As we will show, the approach can be easily transferred to other networks.

References

[1]
Fabian Abel, Nicola Henze, Eelco Herder, and Daniel Krause. 2010. Interweaving public user profiles on the web. In User Modeling, Adaptation, and Personalization. Springer, 16--27.
[2]
Cuneyt Gurcan Akcora, Barbara Carminati, and Elena Ferrari. 2011. Network and profile based measures for user similarities on social networks. In Information Reuse and Integration (IRI), 2011 IEEE International Conference on. IEEE, 292--298.
[3]
Danqi Chen, Botao Hu, and Shuo Xie. 2012. De-anonymizing social networks. CS224W Course Project Writup (2012).
[4]
Yang Chen, Chenfan Zhuang, Qiang Cao, and Pan Hui. 2014. Understanding cross-site linking in online social networks. In Proceedings of the 8th Workshop on Social Network Mining and Analysis. ACM, 6.
[5]
Instagram Engineering. [n. d.]. Sharding & IDs at Instagram. ([n. d.]). http://instagram-engineering.tumblr.com/post/10853187575/sharding-ids-at-instagram
[6]
Oana Goga. 2014. Matching user accounts across online social networks: methods and applications. Ph.D. Dissertation. LIP6-Laboratoire d'Informatique de Paris 6.
[7]
Oana Goga, Howard Lei, Sree Hari Krishnan Parthasarathi, Gerald Friedland, Robin Sommer, and Renata Teixeira. 2013. Exploiting Innocuous Activity for Correlating Users Across Sites. In Proceedings of the 22Nd International Conference on World Wide Web (WWW '13). International World Wide Web Conferences Steering Committee, 447--458.
[8]
Oana Goga, Patrick Loiseau, Robin Sommer, Renata Teixeira, and Krishna P Gummadi. 2015. On the reliability of profile matching across large online social networks. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, 1799--1808.
[9]
http://facebook.com/sociallysorted. [n. d.]. Instagram to Twitter Shortcut: Easily Tweet Instagram Photos with IFTTT. ([n. d.]). http://sociallysorted.com.au/instagram-to-twitter-shortcut/
[10]
Paridhi Jain, Ponnurangam Kumaraguru, and Anupam Joshi. 2013. @ i seek'fb. me': identifying users across multiple online social networks. In Proceedings of the 22nd international conference on World Wide Web. ACM, 1259--1268.
[11]
Fredrik Johansson, Lisa Kaati, and Amendra Shrestha. 2013. Detecting multiple aliases in social media. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. ACM, 1004--1011.
[12]
Fredrik Johansson, Lisa Kaati, and Amendra Shrestha. 2013. Detecting multiple aliases in social media. In Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. ACM, 1004--1011.
[13]
Dennis Kergl, Robert Roedler, and Sebastian Seeber. 2014. On the endogenesis of Twitter's Spritzer and Gardenhose sample streams. In Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on. IEEE, 357--364.
[14]
Siyuan Liu, Shuhui Wang, Feida Zhu, Jinbo Zhang, and Ramayya Krishnan. 2014. Hydra: Large-scale social identity linkage via heterogeneous behavior modeling. In Proceedings of the 2014 ACM SIGMOD international conference on Management of data. ACM, 51--62.
[15]
Qiang Ma, Han Hee Song, S Muthukrishnan, and Antonio Nucci. 2016. Joining user profiles across online social networks: From the perspective of an adversary. In Advances in Social Networks Analysis and Mining (ASONAM), 2016 IEEE/ACM International Conference on. IEEE, 178--185.
[16]
Jason Mander. [n. d.]. Internet users have average of 7 social accounts:. ([n. d.]). https://www.globalwebindex.net/blog/internet-users-have-average-of-7-social-accounts
[17]
Fred Morstatter, Jürgen Pfeffer, Huan Liu, and Kathleen M Carley. 2013. Is the sample good enough? comparing data from twitter's streaming api with twitter's firehose. arXiv preprint arXiv:1306.5204 (2013).
[18]
Ye Na, Zhao Yinliang, Dong Lili, Bian Genqing, Enjie Liu, and Gordon J Clap-worthy. 2013. User identification based on multiple attribute decision making in social networks. Communications, China 10, 12 (2013), 37--49.
[19]
Frank Nagle and Lisa Singh. 2009. Can friends be trusted? Exploring privacy in online social networks. In Social Network Analysis and Mining, 2009. ASONAM'09. International Conference on Advances in. IEEE, 312--315.
[20]
Arvind Narayanan and Vitaly Shmatikov. 2009. De-anonymizing social networks. In Security and Privacy, 2009 30th IEEE Symposium on. IEEE, 173--187.
[21]
Olga Peled, Michael Fire, Lior Rokach, and Yuval Elovici. 2013. Entity matching in online social networks. In Social Computing (SocialCom), 2013 International Conference on. IEEE, 339--344.
[22]
Elie Raad, Richard Chbeir, and Albert Dipanda. 2010. User profile matching in social networks. In Network-Based Information Systems (NBiS), 2010 13th International Conference on. IEEE, 297--304.
[23]
Nicole M Radziwill and Morgan C Benton. 2016. Bot or Not? Deciphering Time Maps for Tweet Interarrivals. arXiv preprint arXiv:1605.06555 (2016).
[24]
Robert Roedler, Dennis Kergl, and Gabi Dreo Rodosek. 2016. Profile Matching Across Online Social Networks Based on Geo-Tags. In Advances in Nature and Biologically Inspired Computing. Springer, 417--428.
[25]
Yilin Shen and Hongxia Jin. 2014. Controllable information sharing for user accounts linkage across multiple online social networks. In Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management. ACM, 381--390.
[26]
Reza Soltani and Abdolreza Abhari. 2013. Identity matching in social media platforms. In Performance Evaluation of Computer and Telecommunication Systems (SPECTS), 2013 International Symposium on. IEEE, 64--70.
[27]
Jan Vosecky, Dan Hong, and Vincent Y Shen. 2009. User identification across multiple social networks. In Networked Digital Technologies, 2009. NDT'09. First International Conference on. IEEE, 360--365.
[28]
Reza Zafarani and Huan Liu. 2009. Connecting Corresponding Identities across Communities. In ICWSM. Citeseer.
[29]
Chao Michael Zhang and Vern Paxson. 2011. Detecting and analyzing automated activity on twitter. In Passive and Active Measurement. Springer, 102--111.
[30]
Jiawei Zhang and S Yu Philip. 2015. Multiple anonymized social networks alignment. In Data Mining (ICDM), 2015 IEEE International Conference on. IEEE, 599--608.

Cited By

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  • (2021)User Identification across Social Networking Sites using User Profiles and Posting Patterns2021 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN52387.2021.9534413(1-8)Online publication date: 2021
  • (2020)Personalized Information Representation to Anonymous Users: Digital Signage CaseSoftware Engineering Perspectives in Intelligent Systems10.1007/978-3-030-63322-6_6(74-86)Online publication date: 16-Dec-2020
  • (2019)CrossSimON: A Novel Probabilistic Approach to Cross-Platform Online Social Network Simulation2019 IEEE International Conference on Intelligence and Security Informatics (ISI)10.1109/ISI.2019.8823276(7-12)Online publication date: Jul-2019

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cover image ACM Conferences
ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017
July 2017
698 pages
ISBN:9781450349932
DOI:10.1145/3110025
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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Publication History

Published: 31 July 2017

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Author Tags

  1. Instagram
  2. Twitter
  3. media id
  4. profile matching
  5. social networks

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Cited By

View all
  • (2021)User Identification across Social Networking Sites using User Profiles and Posting Patterns2021 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN52387.2021.9534413(1-8)Online publication date: 2021
  • (2020)Personalized Information Representation to Anonymous Users: Digital Signage CaseSoftware Engineering Perspectives in Intelligent Systems10.1007/978-3-030-63322-6_6(74-86)Online publication date: 16-Dec-2020
  • (2019)CrossSimON: A Novel Probabilistic Approach to Cross-Platform Online Social Network Simulation2019 IEEE International Conference on Intelligence and Security Informatics (ISI)10.1109/ISI.2019.8823276(7-12)Online publication date: Jul-2019

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