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Keystone Sector Identification: A Graph Theory-Social Network Analysis Approach

Author

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  • Kilkenny, Maureen
  • Nalbarte, Laura

Abstract

This is about a new a method for identifying keystone sectors in communities, where sectors are broadly defined to include churches, clubs, associations, and public institutions as well as firms and businesses. In an arch, the keystone is the one with the unique wedge shape at the top of the arch that is critical for the arch?s structural stability. While all other stones in an arch substitute for one another and can be removed (in pairs), the arch will fall apart if the keystone is lacking. The term keystone species was first coined by ecologists in the late 1960s with respect to the species uniquely responsible for the structure and integrity of an ecosystem. We now coin the term for use in community development analysis. In a community, the keystone sector is one that plays a unique role, without which the community is fundamentally and detrimentally altered.

Suggested Citation

  • Kilkenny, Maureen & Nalbarte, Laura, 2000. "Keystone Sector Identification: A Graph Theory-Social Network Analysis Approach," Staff General Research Papers Archive 10308, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:10308
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    Cited by:

    1. Hannah Woods & Umar Haruna & Irenius Konkor & Isaac Luginaah, 2019. "The influence of the Community‐based Health Planning and Services (CHPS) program on community health sustainability in the Upper West Region of Ghana," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(1), pages 802-816, January.
    2. Jane Bryan & Calvin Jones & Max Munday, 2005. "Investigating the Potential of Key Sectors Using Multisectoral Qualitative Analysis: A Welsh Case Study," Environment and Planning C, , vol. 23(5), pages 633-656, October.
    3. Maureen Kilkenny, 2008. "Social capital in the knowledge economy: Theory and empirics – By Hans Westlund," Papers in Regional Science, Wiley Blackwell, vol. 87(1), pages 149-152, March.
    4. Navarro, Andres & Tapiador, Francisco J., 2019. "RUSEM: A numerical model for policymaking and climate applications," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.

    More about this item

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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