OSNI: Searching for Needles in a Haystack of Social Network Data
Shiwen Cheng, Fang, James, Vagelis Hristidis, Harsha V. Madhyastha, Niluthpol Chowdhury Mithun, Dorian Perkins, Amit K. Roy–Chowdhury, Moloud Shahbazi, Vassilis J. Tsotras · Movebank · 2016
This paper presents the Online Social Network Investigator (OSNI), a scalable distributed system to search social net- work data, based on a spatiotemporal window and a list of keywords. Given that only 2% of tweets are geolocated, we have implemented and compared various state-of-art loca- tion estimation techniques. Further, to enrich the context of posts, associations of images to terms are estimated through various classication techniques. The accuracies of these es- timations are evaluated on large real datasets. OSNI's query interface is available on the Web.