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Assessing Individual and Group Behavior from Mobility Data: Technological Advances and Emerging Applications

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Encyclopedia of Social Network Analysis and Mining

Synonyms

Activity modelling; Behavioral patterns; Big data; Complex social networks; Machine learning; Mobile sensing technologies; Mobile social network; Mobility/Activity diary; Quantified self; Reality mining; Routine discovery; Smartphone proximity networks; Statistical analysis

Glossary

Big Data:

Very large datasets that cannot handled with traditional data processing applications. Big data often include behavioral and mobility variables collected via smartphone applications.

Computational Social Science:

Also known as computational sociology, it studies and infers social phenomena by analyzing them with a variety of computational approaches that make use of large-scale datasets of sensed human behavior

COST (European Cooperation in Science and Technology):

Europe’s longest-running intergovernmental framework for science and technology cooperation. COST is a unique program in the European Research Area (ERA) successfully funding scientific collaboration networks (i.e., COST...

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Recommended Reading

  • Lugano G (2016) Mobile social networking. In: Kurylo A, Dumova T (eds) Social networking: redefining communication in the digital age. Rowman & Littlefield, Madison, New Jersey. pp 53–73

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Acknowledgements

The paper was in part supported by the project ERAdiate – Enhancing Research and innovAtion dimensions of the University of Žilina in intelligent transport systems, cofunded from European Union’s Seventh Framework Programme for research, technological development, and demonstration under grant agreement no. 621386.

Author information

Authors and Affiliations

  1. ERAdiate Team, University of Žilina, Univerzitná 8215/1, 01026, Žilina, Slovakia

    Giuseppe Lugano

Authors
  1. Giuseppe Lugano
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Corresponding author

Correspondence to Giuseppe Lugano .

Editor information

Editors and Affiliations

  1. Computer Science, University of Calgary, Calgary, Alberta, Canada

    Reda Alhajj

  2. University of Calgary Computer Science, Calgary, Canada

    Jon Rokne

Section Editor information

  1. Data Mining and Machine Learning Lab, School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA

    Huan Liu

  2. Chief Data Scientist, Clari Inc., 94086, Sunnyvale, CA, USA

    Lei Tang

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Lugano, G. (2017). Assessing Individual and Group Behavior from Mobility Data: Technological Advances and Emerging Applications. In: Alhajj, R., Rokne, J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7163-9_219-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7163-9_219-1

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-7163-9

  • Online ISBN: 978-1-4614-7163-9

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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