Publication Type

Conference Proceeding Article

Publication Date

6-2014

Abstract

In this paper, we argue for expanded research into an area called Socio-Physical Analytics, that focuses on combining the behavioral insight gained from mobile-sensing based monitoring of physical behavior with the inter-personal relationships and preferences deduced from online social networks. We highlight some of the research challenges in combining these heterogeneous data sources and then describe some examples of our ongoing work (based on real-world data being collected at SMU) that illustrate two aspects of socio-physical analytics: (a) how additional demographic and online analytics based attributes can potentially provide better insights into the preferences and behaviors of individuals or groups (in terms of movement prediction and understanding of physical vs. online interactions), and (b) how online and physical interactions can help us discover latent characteristics of physical spaces and entities.

Keywords

Information fusion, Mobile sensing, Social media analytics

Discipline

Databases and Information Systems | Social Media | Software Engineering

Publication

WPA '14: Proceedings of the 2014 workshop on physical analytics, Bretton Woods, New Hampshire, USA, 2014 June 16

First Page

19

Last Page

24

ISBN

9781450328258

Identifier

10.1145/2611264.2611265

Publisher

Association for Computing Machinery

City or Country

New Hampshire

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

http://doi.org./10.1145/2611264.2611265

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