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Socio-Cultural Cognitive Mapping

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Social, Cultural, and Behavioral Modeling (SBP-BRiMS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10354))

Abstract

We introduce Socio-cultural Cognitive Mapping (SCM), a method to characterize populations based on shared attributes, placing these actors on a spatial representation. We introduce the technique, taking the reader through an overview of the algorithm. We conclude with an example use-case of the Hatfield-McCoy feud. In the Hatfield-McCoy case, the SCM process clearly delineates members of the opposing clans as well as gender.

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Notes

  1. 1.

    The Hatfield-McCoy data can be downloaded as DynetML from the CASOS website: http://www.casos.cs.cmu.edu/tools/datasets/internal/index.php#HatfieldMcCoy.

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Author information

Authors and Affiliations

  1. Carnegie Mellon University, Pittsburgh, PA, USA

    Geoffrey P. Morgan & Kathleen M. Carley

  2. Dartmouth College, Hanover, NH, USA

    Joel Levine

Authors
  1. Geoffrey P. Morgan
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  2. Joel Levine
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  3. Kathleen M. Carley
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Corresponding author

Correspondence to Geoffrey P. Morgan .

Editor information

Editors and Affiliations

  1. Penn State University, State College, Pennsylvania, USA

    Dongwon Lee

  2. University of Saskatchewan, Saskatoon, Saskatchewan, Canada

    Yu-Ru Lin

  3. University of Pittsburgh, Pittsburgh, Pennsylvania, USA

    Nathaniel Osgood

  4. United States Military Academy, West Point, New York, USA

    Robert Thomson

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© 2017 Springer International Publishing AG

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Morgan, G.P., Levine, J., Carley, K.M. (2017). Socio-Cultural Cognitive Mapping. In: Lee, D., Lin, YR., Osgood, N., Thomson, R. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2017. Lecture Notes in Computer Science(), vol 10354. Springer, Cham. https://doi.org/10.1007/978-3-319-60240-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-60240-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60239-4

  • Online ISBN: 978-3-319-60240-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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