Event detection from flickr data through wavelet-based spatial analysis
Proceedings of the 18th ACM conference on Information and knowledge management
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Harnessing the Crowdsourcing Power of Social Media for Disaster Relief
IEEE Intelligent Systems
Twitter catches the flu: detecting influenza epidemics using Twitter
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Towards a collaborative geosocial analysis workbench
Proceedings of the 3rd International Conference on Computing for Geospatial Research and Applications
Representation and communication: challenges in interpreting large social media datasets
Proceedings of the 2013 conference on Computer supported cooperative work
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Geosocial gauge: a system prototype for knowledge discovery from social media
International Journal of Geographical Information Science
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The proliferation of social media over the past few years is presenting us with unique opportunities to sample opinions and interests at spatial and temporal resolutions previously unheard of. In order to make best use of this information though, we need a better understanding of the degree to which the cyber community that is observed through them can serve as a proxy for the corresponding physical community. In this paper we are making a contribution towards this issue by presenting a case study in which we compare spatial characteristics of a community both in the physical and cyber spaces. The key findings of our analysis relate to the selection of an appropriate level of spatial aggregation for analyzing social media content, and on the effect in the level of participation of the distance from the point of interest.