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Network text analysis and social network analysis in investigating complex governance networks: applications of AutoMap and ORA

In: Handbook of Research Methods in Complexity Science

Author

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  • Professor GöktuÄŸ Morçöl
  • Dr Sohee Kim

Abstract

In this chapter we discuss and illustrate how network text analysis and social network analysis can be used to investigate complex governance networks. After briefly defining and describing ‘governance networks,’ we discuss the importance of investigating their complex structural properties and the roles actors play in them. Then we describe and illustrate how AutoMap (network text analysis software) and ORA (dynamic network analysis software) can be used in such investigations with two applications in the cases of an urban governance network and that of a statewide policymaking processes. We also discuss the general problems in using archival data sources in network analyses, specific problems and strengths in using AutoMap in network extraction from archival data. We present the protocol we developed for the applications of AutoMap and ORA in the appendix of the chapter.

Suggested Citation

  • Professor GöktuÄŸ Morçöl & Dr Sohee Kim, 2018. "Network text analysis and social network analysis in investigating complex governance networks: applications of AutoMap and ORA," Chapters, in: Eve Mitleton-Kelly & Alexandros Paraskevas & Christopher Day (ed.), Handbook of Research Methods in Complexity Science, chapter 11, pages 199-220, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:16937_11
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