Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Computational Calculations of Islamic Prayer Times - Issues and Solutions
ICFCC '09 Proceedings of the 2009 International Conference on Future Computer and Communication
The Socio-cultural Factors Influencing Online Female Consumers in Saudi Arabia
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Querying Spatio-temporal Patterns in Mobile Phone-Call Databases
MDM '10 Proceedings of the 2010 Eleventh International Conference on Mobile Data Management
WCSE '10 Proceedings of the 2010 Second World Congress on Software Engineering - Volume 01
Cultural Impact on e-service Use in Saudi Arabia: Results from Focus Groups
ITNG '12 Proceedings of the 2012 Ninth International Conference on Information Technology - New Generations
Geo-spatial event detection in the twitter stream
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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Extensive theoretic work attempts to address the role of social norms in describing, explaining and predicting human behaviors. However, traditional methods of assessing the effect can be expensive and time consuming. In this work, we utilize data generated by the call detail records (CDRs) and geo-tagged Tweets (GTTs) as enabling proxies for understanding human activity patterns. We present preliminary results on the effect of social norms on communication patterns during different times of the day, including prayer times. Specifically, we investigate the variations in population behavioral patterns with respect to social norms between asynchronous (i.e., Twitter) and synchronous (i.e., phone calls) communication mediums in the city of Riyadh, the capital of Saudi Arabia.