Show Less
Buy Book in Print
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.
Handbook
- Published in print:
- 26 Jan 2018
- ISBN:
- 9781785364419
- eISBN:
- 9781785364426
- Pages:
- 640
Show Summary Details
- Handbook of Research Methods in Complexity Science
- Copyright
- Contents
- Contributors
- Reviewers
- Acknowledgements
- Editors’ introduction
- PART I: COMPLEXITY SCIENCE RESEARCH PHILOSOPHY
- Chapter 1: Introduction to the strategy and methods of complex systems
- Chapter 2: Complex evolving social systems: unending, imperfect learning
- Chapter 3: Information theoretic measures of causality: music performance as a case study
- PART II: CASE-BASED QUALITATIVE TECHNIQUES
- Chapter 4: Addressing global challenges: the EMK complexity methodology
- Chapter 5: Complexity informed social research: from complexity concepts to creative applications
- Chapter 6: From isolation to transformation with C2
- Chapter 7: Using complexity principles to understand the nature of relations for creating a culture of publically engaged research within higher education institutes
- PART III: VISUAL METHODOLOGIES
- Chapter 8: The art of complexity: using visual artefacts and dialogue to bridge the gap between strategic plans and local actions in organisations
- Chapter 9: Inner complexity: using Landscape of the Mind to catalyse change in organisations
- Chapter 10: On the visualization of dynamic structure: understanding the distinction between static and dynamic network topology
- Chapter 11: Network text analysis and social network analysis in investigating complex governance networks: applications of AutoMap and ORA
- PART IV: MODELLING AND STATISTICAL ANALYSIS OF EMPIRICAL DATA
- Chapter 12: Using maximum likelihood estimation methods and complexity science concepts to research power law-distributed phenomena
- Chapter 13: Multifractal signatures of intersectionality: nonlinear dynamics permits quantitative modeling of hierarchical patterns in gender dynamics at the cultural level
- Chapter 14: Modeling social complexity in infrastructures: a case-based approach to improving reliability and resiliency
- Chapter 15: Phase transitions and social contagion as enabling mechanisms for coordinated action in populations: a mathematical framework
- Chapter 16: Applying complex adaptive systems to agent-based models for social programme evaluation
- Chapter 17: Complexity, the bridging science of emerging respiratory outbreak response
- PART V: MULTI-LEVEL NETWORKS
- Chapter 18: Multilevel systems and policy
- Chapter 19: Complex scenarios in socio-economic data: a comprehensive analytical study
- Chapter 20: Employment of tools and models appropriate to complex, real-world situations
- Chapter 21: Leadership network structure and influence dynamics
- PART VI: MIXED METHODS AND COMPLEX ANALOGIES
- Chapter 22: Complex analogy and modular exaptation: some definitional clarifications
- Chapter 23: Emergence and radical novelty: from theory to methods
- Chapter 24: Applying the 15 complexity sciences: methods for studying emergence in organizations
- Chapter 25: Mixed methods research: a method for complex systems
- Chapter 26: Dynamical systems therapy (DST): complex adaptive systems in psychiatry and psychotherapy
- Index
This content is available to you
Chapter 1: Introduction to the strategy and methods of complex systems
Professor Yaneer Bar-Yam
Handbook Chapter
- Published:
- 26 January 2018
- Category:
- Handbook Chapter
- Pages:
- 5–17 (13 total)
Collection:
Social and Political Science 2018
If the inline PDF is not rendering correctly, you can download the PDF file here.
- Handbook of Research Methods in Complexity Science
- Copyright
- Contents
- Contributors
- Reviewers
- Acknowledgements
- Editors’ introduction
- PART I: COMPLEXITY SCIENCE RESEARCH PHILOSOPHY
- Chapter 1: Introduction to the strategy and methods of complex systems
- Chapter 2: Complex evolving social systems: unending, imperfect learning
- Chapter 3: Information theoretic measures of causality: music performance as a case study
- PART II: CASE-BASED QUALITATIVE TECHNIQUES
- Chapter 4: Addressing global challenges: the EMK complexity methodology
- Chapter 5: Complexity informed social research: from complexity concepts to creative applications
- Chapter 6: From isolation to transformation with C2
- Chapter 7: Using complexity principles to understand the nature of relations for creating a culture of publically engaged research within higher education institutes
- PART III: VISUAL METHODOLOGIES
- Chapter 8: The art of complexity: using visual artefacts and dialogue to bridge the gap between strategic plans and local actions in organisations
- Chapter 9: Inner complexity: using Landscape of the Mind to catalyse change in organisations
- Chapter 10: On the visualization of dynamic structure: understanding the distinction between static and dynamic network topology
- Chapter 11: Network text analysis and social network analysis in investigating complex governance networks: applications of AutoMap and ORA
- PART IV: MODELLING AND STATISTICAL ANALYSIS OF EMPIRICAL DATA
- Chapter 12: Using maximum likelihood estimation methods and complexity science concepts to research power law-distributed phenomena
- Chapter 13: Multifractal signatures of intersectionality: nonlinear dynamics permits quantitative modeling of hierarchical patterns in gender dynamics at the cultural level
- Chapter 14: Modeling social complexity in infrastructures: a case-based approach to improving reliability and resiliency
- Chapter 15: Phase transitions and social contagion as enabling mechanisms for coordinated action in populations: a mathematical framework
- Chapter 16: Applying complex adaptive systems to agent-based models for social programme evaluation
- Chapter 17: Complexity, the bridging science of emerging respiratory outbreak response
- PART V: MULTI-LEVEL NETWORKS
- Chapter 18: Multilevel systems and policy
- Chapter 19: Complex scenarios in socio-economic data: a comprehensive analytical study
- Chapter 20: Employment of tools and models appropriate to complex, real-world situations
- Chapter 21: Leadership network structure and influence dynamics
- PART VI: MIXED METHODS AND COMPLEX ANALOGIES
- Chapter 22: Complex analogy and modular exaptation: some definitional clarifications
- Chapter 23: Emergence and radical novelty: from theory to methods
- Chapter 24: Applying the 15 complexity sciences: methods for studying emergence in organizations
- Chapter 25: Mixed methods research: a method for complex systems
- Chapter 26: Dynamical systems therapy (DST): complex adaptive systems in psychiatry and psychotherapy
- Index