Handbook of Research Methods in Complexity Science
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Handbook of Research Methods in Complexity Science

Theory and Applications

Edited by Eve Mitleton-Kelly, Alexandros Paraskevas and Christopher Day

This comprehensive Handbook is aimed at both academic researchers and practitioners in the field of complexity science. The book’s 26 chapters, specially written by leading experts, provide in-depth coverage of research methods based on the sciences of complexity. The research methods presented are illustratively applied to practical cases and are readily accessible to researchers and decision makers alike.
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Chapter 11: Network text analysis and social network analysis in investigating complex governance networks: applications of AutoMap and ORA

Professor Göktuğ Morçöl and Dr Sohee Kim


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.

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