Matching social network biometrics using geo-analytical behavioral modeling

Abstract

Social patterns and graphical representation of geospatial activity is important for describing a person's typical behavior. We discuss a framework using social media and GPS smart phone to track an individual and establish normal activity with a network biometric. An individual's daily routine may include visiting many locations - home, work, shopping… (More)
DOI: 10.1109/CIDM.2014.7008699

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Cite this paper

@article{Rahmes2014MatchingSN, title={Matching social network biometrics using geo-analytical behavioral modeling}, author={Mark Rahmes and Kevin L. Fox and John Delay and Gran Roe}, journal={2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)}, year={2014}, pages={422-430} }