Social Synthesis : Finding Dynamic Patterns in Complex Social Systems book cover
1st Edition

Social Synthesis
Finding Dynamic Patterns in Complex Social Systems

ISBN 9781138208728
Published August 24, 2017 by Routledge
202 Pages

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Book Description

How is it possible to understand society and the problems it faces? What sense can be made of the behaviour of markets and government interventions? How can citizens understand the course that their lives take and the opportunities available to them?

There has been much debate surrounding what methodology and methods are appropriate for social science research. In a larger sense, there have been differences in quantitative and qualitative approaches and some attempts to combine them. In addition, there have also been questions of the influence of competing values on all social activities versus the need to find an objective understanding. Thus, this aptly named volume strives to develop new methods through the practice of ‘social synthesis’, describing a methodology that perceives societies and economies as manifestations of highly dynamic, interactive and emergent complex systems. Furthermore, helping us to understand that an analysis of parts alone does not always lead to an informed understanding, Haynes presents to the contemporary researcher an original tool called Dynamic Pattern Synthesis (DPS) – a rigorous method that informs us about how specific complex social and economic systems adapt over time.

A timely and significant monograph, Social Synthesis will appeal to advanced undergraduate and postgraduate students, research professionals and academic researchers informed by sociology, economics, politics, public policy, social policy and social psychology.

Table of Contents

List of Boxes

List of Figures

List of Tables




Chapter One: Methodology: towards a representation of complex system dynamics


Complexity Science

The classical reductionist method

Beyond reductionist science

Sensitivity to initial conditions





Summarising the influences of complexity theory

Understanding system change as patterns

Complexity in economic systems

Time and Space

Critical Realism

Case similarity and difference

Convergence and divergence

Complex causation

Methodological conclusions

Mixed methods


Chapter Two: the Method - introducing Dynamic Pattern Synthesis (DPS)


Cluster Analysis (CA)

Cluster Analysis: specific approaches

Distance measures

Hierarchical and non-hierarchical cluster analysis

Clustering algorithms

Dendrogram charts

Icicle chart

Using SPSS to calculate and compare cluster methods

Further considerations of the effects of clustering algorithms

Understanding variable relationships within cluster formulation

Repeating Cluster Analysis over time

Qualitative Comparative Analysis (QCA)

Crisp set QCA

Accounting for time in case based methods

Combining the two methods: Cluster Analysis and QCA

QCA and software packages

Applying QCA

An alternative confirmation method: ANOVA

The application of Custer Analysis and QCA as a combined method

Dynamic Pattern Synthesis: seven cities, three years later

Threshold setting for binary crisp set conversion

Primary Implicant ‘near misses’

Other considerations for the Dynamic Pattern Synthesis

The stability of variables in DPS

Stability of cases in the chosen sample

The size of the chosen sample

The number of time points in the DPS


Chapter Three: macro examples of Dynamic Pattern Synthesis (DPS)


Macro case study 1: health and social care in Europe

Macro Case study 1, wave 1, 2004

Macro case study 1, wave 2, 2006

Macro case study 1, wave 4, 2010

Macro case study 1, wave 5, 2013

Macro case study 1: conclusions




Macro case study 2: the evolution of the euro based economies

Macro case study 2, wave 1, 2002

Macro case study 2, wave 2, 2006

Macro case study 2, wave 3, 2013

Macro case study 2: conclusions




Chapter Four: A meso case study example: London Boroughs


Meso case study: 2010

Meso case study, 2011

Meso case study, 2012

Meso case study: conclusions




Chapter Five: micro case study example: older people in Sweden

Micro case study: older people in Sweden born in 1918

Micro case study: wave 1, 2004

Micro case study, wave 2, 2006

Micro case study, wave 4, 2010

Conclusions for the micro case study




Chapter Six: Conclusions

Dynamic Pattern Synthesis (DPS) and different dynamic typologies

Variable patterns

Case patterns

The stability of case and variable interactions: towards some typologies

Stable dynamics

Case instability

Cluster resilience

System Instability

Reflections on complexity theory and DPS


Short and long range interactions and feedbacks

System openness and dynamics

Case and Data Patterns

Case dynamics and complexity theory



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Philip Haynes is Professor of Public Policy in the School of Applied Social Science at the University of Brighton, UK.


I highly recommend this book which has several case-studies of complex change over time. Complexity theory fits the social sciences well because there is both stability and instability in the social patterns. Here we find good empirical examples. The author observes patterns over time using three main methods: a complex cluster analysis, the discerning of prime implicants from among the configuration’s characteristics, and Boolean truth-table analysis. The author thus reduces and simplifies the findings. The book makes extensive use of Qualitative Comparative Analysis (QCA) while extending this ‘mixed method’ to an intertemporal range.

Wendy Olsen, Reader in Socio-Economic Research, The University of Manchester, UK

This book responds to two important currents influencing contemporary social science: critical realism and complexity science. It provides an account of a promising new analytic method, Dynamic Pattern Synthesis, and illustrates how one can use the method with examples including the analysis of health and social care. I look forward to the application of this innovative and powerful method to a wide range of policy-relevant topics.

Nigel Gilbert, Professor of Sociology, University of Surrey, UK