Understanding cross-site linking in online social networks

  • Qingyuan Gong*
  • , Yang Chen
  • , Jiyao Hu
  • , Qiang Cao
  • , Pan Hui
  • , Xin Wang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

As a result of the blooming of online social networks (OSNs), a user often holds accounts on multiple sites. In this article, we study the emerging "cross-site linking" function available on mainstream OSN services including Foursquare, Quora, and Pinterest. We first conduct a data-driven analysis on crawled profiles and social connections of all 61.39 million Foursquare users to obtain a thorough understanding of this function. Our analysis has shown that the cross-site linking function is adopted by 57.10% of all Foursquare users, and the users who have enabled this function are more active than others. We also find that the enablement of cross-site linking might lead to privacy risks. Based on cross-site links between Foursquare and external OSN sites, we formulate cross-site information aggregation as a problem that uses cross-site links to stitch together site-local information fields for OSN users. Using large datasets collected from Foursquare, Facebook, and Twitter, we demonstrate the usefulness and the challenges of cross-site information aggregation. In addition to the measurements, we carry out a survey collecting detailed user feedback on cross-site linking. This survey studies why people choose to or not to enable cross-site linking, as well as the motivation and concerns of enabling this function.

Original languageEnglish
Article number25
JournalACM Transactions on the Web
Volume12
Issue number4
DOIs
StatePublished - Sep 2018
Externally publishedYes

Keywords

  • Cross-site linking
  • Measurement
  • Online social networks
  • Survey

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