TY - JOUR
T1 - Understanding cross-site linking in online social networks
AU - Gong, Qingyuan
AU - Chen, Yang
AU - Hu, Jiyao
AU - Cao, Qiang
AU - Hui, Pan
AU - Wang, Xin
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/9
Y1 - 2018/9
N2 - 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.
AB - 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.
KW - Cross-site linking
KW - Measurement
KW - Online social networks
KW - Survey
UR - https://www.scopus.com/pages/publications/85054563702
U2 - 10.1145/3213898
DO - 10.1145/3213898
M3 - 文章
AN - SCOPUS:85054563702
SN - 1559-1131
VL - 12
JO - ACM Transactions on the Web
JF - ACM Transactions on the Web
IS - 4
M1 - 25
ER -