NationTelescope: Monitoring and visualizing large-scale collective behavior in LBSNs

[1]  Man Ieee Systems.  IEEE transactions on systems, man, and cybernetics. Systems , 2013 .

[2]  Daqing Zhang,et al.  Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[3]  Xingshe Zhou,et al.  Predicting the content dissemination trends by repost behavior modeling in mobile social networks , 2014, J. Netw. Comput. Appl..

[4]  Zhu Wang,et al.  Discovering and Profiling Overlapping Communities in Location-Based Social Networks , 2014, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[5]  Charalampos Konstantopoulos,et al.  Mobile recommender systems in tourism , 2014, J. Netw. Comput. Appl..

[6]  Daqing Zhang,et al.  Fine-grained preference-aware location search leveraging crowdsourced digital footprints from LBSNs , 2013, UbiComp.

[7]  John Riedl,et al.  PLUTUS: Leveraging Location-Based Social Networks to Recommend Potential Customers to Venues , 2013, 2013 IEEE 14th International Conference on Mobile Data Management.

[8]  Zhu Wang,et al.  A sentiment-enhanced personalized location recommendation system , 2013, HT.

[9]  Norman M. Sadeh,et al.  The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City , 2012, ICWSM.

[10]  Oded Galor,et al.  Cultural Diversity, Geographical Isolation, and the Origin of the Wealth of Nations , 2011, SSRN Electronic Journal.

[11]  Cecilia Mascolo,et al.  An Empirical Study of Geographic User Activity Patterns in Foursquare , 2011, ICWSM.

[12]  M. Riconscente,et al.  Technique for the measurement of attitudes , 2010 .

[13]  Xing Xie,et al.  Understanding transportation modes based on GPS data for web applications , 2010, TWEB.

[14]  Jeff Sauro,et al.  The Factor Structure of the System Usability Scale , 2009, HCI.

[15]  KortumPhilip,et al.  Determining what individual SUS scores mean , 2009 .

[16]  Philip T. Kortum,et al.  Determining what individual SUS scores mean: adding an adjective rating scale , 2009 .

[17]  Mark E. J. Newman,et al.  Power-Law Distributions in Empirical Data , 2007, SIAM Rev..

[18]  Philip S. Yu,et al.  Direct Discriminative Pattern Mining for Effective Classification , 2008, 2008 IEEE 24th International Conference on Data Engineering.

[19]  Adrian Kuhn.  Collective Behavior , 2007 .

[20]  Peter Berg,et al.  Contesting Time: International Comparisons of Employee Control of Working Time , 2004 .

[21]  E. Ostrom.  Collective action and the evolution of social norms , 2000, Journal of Economic Perspectives.

[22]  J. Robert,et al.  SHILLER, . Human Behavior and the Efficiency of the Financial System, Handbook of Macroeconomics, Vol. edited by J. , 1999 .

[23]  R. Shiller.  Chapter 20 Human behavior and the efficiency of the financial system , 1999 .

[24]  R. Shiller.  Human Behavior and the Efficiency of the Financial System , 1998 .

[25]  WHY IS JAPANESE WORKING TIME SO LONG?: WAGE-WORKING TIME CONTRACT MODELS , 1996 .

[26]  J. B. Brooke,et al.  SUS: A 'Quick and Dirty' Usability Scale , 1996 .

[27]  A C Heath,et al.  Seasonal changes in mood and behavior. The role of genetic factors. , 1996, Archives of general psychiatry.

[28]  R. Hinde,et al.  Biological Bases Of Human Social Behaviour , 1975 .

[29]  E. Hoebel.  Anthropology: the study of man , 1972 .

[30]  B. Skinner,et al.  Science and human behavior , 1953 .

[31]  George Kingsley Zipf,et al.  Human behavior and the principle of least effort , 1949 .

[32]  Robert E. Park,et al.  The City: Suggestions for the Investigation of Human Behavior in the City Environment , 1915, American Journal of Sociology.