SPATIAL ANALYSIS ABOUT USERS COLLABORATION ON GEO-SOCIAL NETWORKS IN A BRAZILIAN CITY

Geo-Social Networks (GSNs) are collaborative systems that has the geolocated information as main component. The geolocation resource integrates virtual and real worlds, allowing the comprehension about these two scenarios at same time. Based on that, this work define a process of spatial analysis of shared information on a GSN. The present work proposes the usage of six spatial features as feedback about collaborative behaviour on city. The spatial analysis aims understand if users’ collaboration change among city census sectors. Understanding how users deal with GSNs in an area, will help about collaborative patterns per urban region. As result, this work detected spatial patterns among users in the GSN Foursquare of a Brazilian city. These patterns indicates that users’ collaboration receive influences of extrinsic and intrinsic features of GSN and the comprehension about their users is a complex task.