Handbook of Research Methods in Complexity Science
Edited by Eve Mitleton-Kelly,
Alexandros Paraskevas and
Christopher Day
in Books from Edward Elgar Publishing
Abstract:
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.
Keywords: Business and Management; Geography; Innovations and Technology; Politics and Public Policy Research Methods; Urban and Regional Studies (search for similar items in EconPapers)
Date: 2018
ISBN: 9781785364419
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Chapters in this book:
- Ch 1 Introduction to the strategy and methods of complex systems , pp 5-17
- Professor Yaneer Bar-Yam
- Ch 2 Complex evolving social systems: unending, imperfect learning , pp 18-44
- Professor Peter Allen
- Ch 3 Information theoretic measures of causality: music performance as a case study , pp 45-54
- Fatimah Abdul Razak, Xiaogeng Wan and Professor Henrik Jeldtoft Jensen
- Ch 4 Addressing global challenges: the EMK complexity methodology , pp 61-73
- Professor Eve Mitleton-Kelly
- Ch 5 Complexity informed social research: from complexity concepts to creative applications , pp 74-94
- Dr Lesley Kuhn
- Ch 6 From isolation to transformation with C2 , pp 95-113
- Hazel Stuteley and Dr Jonathan Stead
- Ch 7 Using complexity principles to understand the nature of relations for creating a culture of publically engaged research within higher education institutes , pp 114-132
- Dr Robin Durie, Dr Craig Lundy and Professor Katrina Wyatt
- Ch 8 The art of complexity: using visual artefacts and dialogue to bridge the gap between strategic plans and local actions in organisations , pp 137-156
- Julian Burton and Sam Mockett
- Ch 9 Inner complexity: using Landscape of the Mind to catalyse change in organisations , pp 157-177
- Kate Hopkinson
- Ch 10 On the visualization of dynamic structure: understanding the distinction between static and dynamic network topology , pp 178-198
- Dr Kurt A. Richardson and Andrew Tait
- Ch 11 Network text analysis and social network analysis in investigating complex governance networks: applications of AutoMap and ORA , pp 199-220
- Professor Göktuğ Morçöl and Dr Sohee Kim
- Ch 12 Using maximum likelihood estimation methods and complexity science concepts to research power law-distributed phenomena , pp 227-253
- Assistant Professor G. Christopher Crawford and Professor Bill McKelvey
- Ch 13 Multifractal signatures of intersectionality: nonlinear dynamics permits quantitative modeling of hierarchical patterns in gender dynamics at the cultural level , pp 254-266
- Hannah L. Brown, Chase R. Booth, Elizabeth G. Eason and Assistant Professor Damian G. Kelty-Stephen
- Ch 14 Modeling social complexity in infrastructures: a case-based approach to improving reliability and resiliency , pp 267-284
- Carl J. Dister, Professor Brian Castellani and Dr Rajeev Rajaram
- Ch 15 Phase transitions and social contagion as enabling mechanisms for coordinated action in populations: a mathematical framework , pp 285-311
- Professor James K. Hazy and Professor Peter R. Wolenski
- Ch 16 Applying complex adaptive systems to agent-based models for social programme evaluation , pp 312-326
- Professor Michael E. Wolf-Branigin, Dr William G. Kennedy, Dr Emily S. Ihara and Dr Catherine J. Tompkins
- Ch 17 Complexity, the bridging science of emerging respiratory outbreak response , pp 327-356
- Dr Babak Pourbohloul, Dr Krista M. English and Dr Nathaniel Hupert
- Ch 18 Multilevel systems and policy , pp 363-387
- Professor Jeffrey Johnson, Professor Joyce Fortune and Dr Jane Bromley
- Ch 19 Complex scenarios in socio-economic data: a comprehensive analytical study , pp 388-425
- Assistant Professor Sanjay Kumar Palit, Associate Professor Santo Banerjee and Assisyant Professor Sayan Mukherjee
- Ch 20 Employment of tools and models appropriate to complex, real-world situations , pp 426-458
- Patrick Beautement
- Ch 21 Leadership network structure and influence dynamics , pp 459-478
- Dr Michael Gabbay
- Ch 22 Complex analogy and modular exaptation: some definitional clarifications , pp 483-506
- Professor Pierpaolo Andriani and Professor Giuseppe Carignani
- Ch 23 Emergence and radical novelty: from theory to methods , pp 507-524
- Professor Jeffrey A. Goldstein
- Ch 24 Applying the 15 complexity sciences: methods for studying emergence in organizations , pp 525-544
- Associate Professor Benyamin Lichtenstein
- Ch 25 Mixed methods research: a method for complex systems , pp 545-566
- Professor Liz Varga
- Ch 26 Dynamical systems therapy (DST): complex adaptive systems in psychiatry and psychotherapy , pp 567-590
- Professor Yakov Shapiro and Associate Professor J. Rowan Scott
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