A probabilistic approach to spatiotemporal theme pattern mining on weblogs
Proceedings of the 15th international conference on World Wide Web
Social pixels: genesis and evaluation
Proceedings of the international conference on Multimedia
Proceedings of the 2nd ACM international workshop on Events in multimedia
Bursty event detection from collaborative tags
World Wide Web
How shall we catch people's concerns in micro-blogging?
Proceedings of the 21st international conference companion on World Wide Web
On the spatiotemporal burstiness of terms
Proceedings of the VLDB Endowment
Mirroring the real world in social media: twitter, geolocation, and sentiment analysis
Proceedings of the 2013 international workshop on Mining unstructured big data using natural language processing
Hi-index | 0.00 |
Large volumes of spatio-temporal-thematic data being created using sites like Twitter and Jaiku, can potentially be combined to detect events, and understand various 'situations' as they are evolving at different spatio-temporal granularity across the world. Taking inspiration from traditional image pixels which represent aggregation of photon energies at a location, we consider aggregation of user interest levels at different geo-locations as social pixels. Combining such pixels spatio-temporally allows for creation of social images and video. Here, we describe how the use of relevant (media processing inspired) situation detection operators upon such 'images', and domain based rules can be used to decide relevant control actions. The ideas are showcased using a Swine flu monitoring application which uses Twitter data.