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Flip that house: visualising and analysing potential real estate property flipping transactions in a cold local housing market in the United States

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  • Katrin B. Anacker
  • Laurie A. Schintler

Abstract

The purpose of this exploratory case study is to use social network analysis techniques to visualise and analyse potential real estate property flipping transactions which may be a type of investment in Mansfield, OH. While real estate property flipping is typically associated with hot real estate markets, Mansfield's real estate market, interestingly, has been a cold one. Social network analysis is a method for analysing the structure of relationships among social entities through networks and graphs. We look at how homebuyers and grantees of mortgages relate to each other, utilising Gephi and UCINET software for visualisation purposes. We find that almost 50% of the mortgage grantees are from Ohio, which runs counter to our expectations based on the Riegle-Neal Interstate Banking and Branching Efficiency Act of 1994. We also find that the topological structure is highly fragmented. In some cases, the components represent only a single transaction between one homebuyer and one grantee. In other cases, the clusters are more complex, indicating potential real estate property flipping.

Suggested Citation

  • Katrin B. Anacker & Laurie A. Schintler, 2015. "Flip that house: visualising and analysing potential real estate property flipping transactions in a cold local housing market in the United States," International Journal of Housing Policy, Taylor & Francis Journals, vol. 15(3), pages 285-303, July.
    • Handle: RePEc:taf:intjhp:v:15:y:2015:i:3:p:285-303
    DOI: 10.1080/14616718.2015.1051401
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    Cited by:

    1. Zura Kakushadze & Juan Andrés Serur, 2018. "151 Trading Strategies," Springer Books, Springer, number 978-3-030-02792-6, June.

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