Location Determination in Online Social Network Profiles.
Résumé
In online social networks individuals are given the option to reveal on their online profiles some personal information about themselves including, among others, their home loca- tion that, if specified, is typically referred to with a toponym. A toponym disclosed by an individual on her profile, or self- reported toponym (e.g., “London”), is often ambiguous and may be interpreted as the name of different geographic lo- cations (“London, U.K.”, “London, Ontario, Canada”, “Lon- don, Arkansas, USA”). The determination of the right inter- pretation of a self-reported toponym is challenging because the profile of an individual usually lacks the contextual in- formation that can be used to disambiguate the toponym.
In this paper, we propose LocusRank, an algorithm for the disambiguation (or resolution) of the self-reported to- ponyms in online social network profiles. More precisely, Lo- cusRankchooses the right interpretation of a self-reported toponym of an individual by using the (possibly ambigu- ous) self-reported toponyms of her friends. Besides, Locus- Rankcan also be used to infer with good accuracy the home location of profiles that do not even have a self-reported to- ponym. We evaluated LocusRankwith good results on a dataset of profiles obtained from two real social networks, namely Flickr and LiveJournal.