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User identity linkage across online social networks is an emerging researchtopic that has attracted attention in recent years. Many user identity linkagemethods have been proposed so far and most of them utilize user profile,content and network information to determine if two social media accountsbelong to the same person. In most cases, user identity linkage methods areevaluated by performing some prediction tasks with the results presented usingsome overall accuracy measures. However, the methods are rarely compared at theindividual user level where a predicted matched (or linked) pair of useridentities from different online social networks can be visually compared interms of user profile (e.g. username), content and network information. Such acomparison is critical to determine the relative strengths and weaknesses ofeach method. In this work, we present Linky, a visual analytical tool whichextracts the results from different user identity linkage methods performed onmultiple online social networks and visualizes the user profiles, content andego networks of the linked user identities. Linky is designed to helpresearchers to (a) inspect the linked user identities at the individual userlevel, (b) compare results returned by different user linkage methods, and (c)provide a preliminary empirical understanding on which aspects of the useridentities, e.g. profile, content or network, contributed to the user identitylinkage results.

Linky: Visualizing User Identity Linkage Results For Multiple Online Social Networks