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Discovering New Socio-demographic Regional Patterns in Cities
During the past few years, the analysis of data generated from Location-Based Social Networks (LBSNs) have aided in the identification of urban patterns, understanding activity behaviours in urban areas, as well as producing novel recommender systems ...
Annotating Geographical Objects in OpenStreetMap with Geo-tagged Social Media
Recent years have witnessed an explosion of geospatial data, especially in the form of Volunteered Geographic Information (VGI). As a prominent example, OpenStreetMap (OSM) creates a free editable map of the world from a large number of contributors. On ...
Geographical Knowledge Discovery applied to the Social Perception of Pollution in the City of Mexico
Nowadays, experts and citizens at large are keen to express their opinions using social networks on many issues, this generating a new form of participatory democracy. The research presented in this paper proposes a preliminary research work that ...
Visualizing High-Risk Paths using Geo-tagged Social Data for Disaster Mitigation
The 2011 Tohoku earthquake and tsunami showed the importance of smooth evacuation to nearby safe evacuation facilities. Smooth evacuation from crowded areas like train stations is difficult because people facing disaster often cannot find good paths to ...
Analysis of geolocalized social networks based on simplicial complexes
A common issue in network analysis consists in the detection and characterization of the key vertices and communities. To this purpose, visualization tools could be of great help to support domain experts in analyzing this kind of data. However, the ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
LBSN '09 | 15 | 8 | 53% |
Overall | 15 | 8 | 53% |