Towards the SocioScope: an Information System for the the Study of Social Dynamics through Digital Traces
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2009_Vaccari_Calabrese_Liu_Ratti_ACM_Sigspatial.pdf
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Author(s) • • •
Vaccari, Andrea
Calabrese, Francesco
Liu, Bing
Ratti, Carlo
Date Issued
November 2009
Journal
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM GIS ’09
Publisher
Association for Computing Machinery
Citation
Vaccari, Andrea et al. “Towards the SocioScope.” Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM GIS ’09. 52-61. ©2009 Association for Computing Machinery.
Version
Author's final manuscript
Abstract
Over the past decade there has been an explosion in the deployment of pervasive systems like cell phone networks and content aggregators on the Internet that produce massive amounts of data as by-products of their interaction with users. This data is related to the actions and opinions of people and thereby to the overall dynamics of cities, how they function and evolve over time.
Here we propose the implementation of a new information system, the SocioScope, that streamlines the operations of data gathering and data storage and that supports the diverse needs of the research community, local authorities, enterprises, and citizens. Our SocioScope allows for the collection, integration, and study of different types of spatiotemporal data.
We present two use cases and an analysis of the requirements for the system. We introduce the multi-tier architecture that supports data gathering, storage, integration, analysis, and visualization. We describe the technical implementation of each module of the system and of the security mechanism for data access control. We conclude with a discussion on the opportunities and challenges of the study of digital traces and with an brief illustration of future directions of work.
MIT Department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
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Attribution-Noncommercial-Share Alike 3.0 Unported
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DOI of Published Version
http://doi.acm.org/10.1145/1653771.1653782