GIS

A growing body of literature has been devoted to harnessing the crowdsourcing power of social media by extracting knowledge from the huge amounts of information available online. This paper discusses how social media data can be used indirectly and with ...

The intensive use of social media through mobile devices has leveraged the development of digital diary applications that keep track of social events as well as geotagged multimedia content. In a large crowd where users with cultural diversity perform ...

LBSN data are well-suited for research questions and perspectives on social or spatial phenomena. Researchers often subset large LBSN datasets into different social networks (using snowball sampling), temporal or spatial granularities, to test for ...

The landscape of social media applications is littered with novel approaches to using location information. The latest platform to emerge in this geosocial media realm is Yik Yak, an application that allows users to share geo-tagged, (currently) text-...

Users tend to check in and post their statuses in location-based social networks (LBSNs) to describe that their interests are related to a point-of-interest (POI). Since the relevance of the data to the POI varies according to the geographic distance ...

Location-based social networks are a source of geo-spatial data enriched by textual information, such as news, travel blogs, tweets and user recommendations. Such data may describe an event, an experience or a point of interest that is relevant to a ...

The remarkable growth of social networking services on global positioning system (GPS)-enabled handheld devices has produced enormous amounts of georeferenced big data. Given a large spatial dataset, the challenge is to effectively discover dense ...