Towards situational pattern mining from microblogging activity

Authors:
Nathan Gnanasambandam;Keith Thompson;Ion Florie Ho;Sarah Lam;Sang Won Yoon
Affiliations:
Xerox Corporation, Webster, NY, USA;Binghamton University, Binghamton, NY, USA;Binghamton University, Binghamton, NY, USA;State University of New York at Binghamton, Binghamton, NY, USA;State University of New York at Binghamton, Binghamton, NY, USA
Venue:
Proceedings of the 21st international conference companion on World Wide Web
Year:
2012

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Abstract

Many useful patterns can be derived from analyzing microblogging behavior at different scales (individual and social group). In this paper, we derive patterns relating to spatio-temporal traffic flow, visit regularity, content and social ties as they relate to an individual's activities in an urban environment (e.g., New York City). We also demonstrate, through an example, methods for reasoning about the activities, locations and group structures that may underlie the microblogging messages in the aforementioned context of mining situation patterns. These individual and group situational patterns may be very crucial when planning for disruptions and organized response.