Workshop Details

SMAM: Workshop on Social Media Analysis and Mining

Organized by Qiuming Zhu and Nolan Hemmatazad
08:30 - 10:45
Room: Alto + Mezzo
https://sites.google.com/a/unomaha.edu/smam/

Online social networks like Facebook and Twitter have witnessed explosive growth over the course of the past decade. The use of these networks and the social features of other sites or applications intersects with nearly every facet of our lives, defining and evolving the nature of our social interactions. This phenomenal surge of interest and adoption of online social networks and other social computing utilities creates an outstanding opportunity for those interested in collecting or analyzing real world data. Further, it provides a testing ground for exploring new methods of analyzing and handling data at scales seldom seen before. The goal of the workshop on Social Media Analysis and Mining (SMAM 2012) is to provide a forum for academic researchers, students, practitioners, and others with an interest in online social network analysis and data mining concepts to come together and share their ideas, network, and learn new methods for tackling complex problems in these exciting fields.

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08:30 - 08:45	Welcoming and Introduction Qiuming Zhu	08:30 - 08:45	Welcoming and Introduction Qiuming Zhu	08:30 - 08:45	Welcoming and Introduction	Welcoming and Introduction		08:30 - 08:45	Welcoming and Introduction Qiuming Zhu
08:45 - 09:05	Online Social Behavior in Twitter: A Literature Review Olav Aarts, Peter-Paul van Maanen, Tanneke Ouboter and Jan Maarten Schraagen	08:45 - 09:05	Online Social Behavior in Twitter: A Literature Review Olav Aarts, Peter-Paul van Maanen, Tanneke Ouboter and Jan Maarten Schraagen	08:45 - 09:05	Online Social Behavior in Twitter: A Literature Review	Online Social Behavior in Twitter: A Literature Review		08:45 - 09:05	Online Social Behavior in Twitter: A Literature Review Olav Aarts, Peter-Paul van Maanen, Tanneke Ouboter and Jan Maarten Schraagen
09:05 - 09:25	Twitter Volume, Current Spending, and Weekday Norms Predict Consumer Spending Three Days in Advance Justin Stewart, Homer Strong and Mark Bedau	09:05 - 09:25	Twitter Volume, Current Spending, and Weekday Norms Predict Consumer Spending Three Days in Advance Justin Stewart, Homer Strong and Mark Bedau	09:05 - 09:25	Twitter Volume, Current Spending, and Weekday Norms Predict Consumer Spending Three Days in Advance	Twitter Volume, Current Spending, and Weekday Norms Predict Consumer Spending Three Days in Advance		09:05 - 09:25	Twitter Volume, Current Spending, and Weekday Norms Predict Consumer Spending Three Days in Advance Justin Stewart, Homer Strong and Mark Bedau
09:25 - 09:45	Geosocial Graph Based Community Detection Yves van Gennip, Huiyi Hu, Blake Hunter, Mason A. Porter	09:25 - 09:45	Geosocial Graph Based Community Detection Yves van Gennip, Huiyi Hu, Blake Hunter, Mason A. Porter	09:25 - 09:45	Geosocial Graph Based Community Detection	Geosocial Graph Based Community Detection		09:25 - 09:45	Geosocial Graph Based Community Detection Yves van Gennip, Huiyi Hu, Blake Hunter, Mason A. Porter
09:45 - 10:15	Invited Industry Talk Misia Tramp	09:45 - 10:15	Invited Industry Talk Misia Tramp	09:45 - 10:15	Invited Industry Talk	Invited Industry Talk		09:45 - 10:15	Invited Industry Talk Misia Tramp
10:15 - 10:45	Coffee Break	10:15 - 10:45	Coffee Break	10:15 - 10:45	Coffee Break	Coffee Break		10:15 - 10:45	Coffee Break
10:45 - 12:30	WEMA Workshop WEMA	10:45 - 12:30	WEMA Workshop WEMA	10:45 - 12:30	WEMA Workshop	WEMA Workshop		10:45 - 12:30	WEMA Workshop WEMA