Chaos, Complexity, and Sociology: Myths, Models, and Theories
Chaos theory has firmly established itself in many of the physical sciences, such as geology and fluid dynamics. This edited volume helps locate this revolutionary theory in sociology as well as the other social sciences. Doors previously closed to social scientists may be opened by this dynamic theory, which attempts to capture movement and change in exciting new ways. Editors Raymond A. Eve, Sara Horsfall, and Mary Lee, with guidance from Editorial Advisor Frederick Turner, provide a timely and well-chosen collection of articles, which first examines the emerging myths and theories surrounding the study of chaos and complexity. In the volumeĈs second part, methodological matters are considered. Finally, conceptual models and applications are presented. "Postmodern science" has provided and refined conceptual tools that have special value for the social sciences. This perceptive and thorough volume will be useful to sociologists and other social scientists interested in chaos and complexity theory.
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Myths aid Theories
The Persistence of Emergence
Nonlinear Dynamics and the MicroMacro Bridge
Sociological Application of
Social Deterministic Systems
Implications for Research Designs
An Emergent Perspective
Chaos and Pattern in Complex Systems
About the Contributors
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analysis anthropic anthropic principle attachment autocorrelation autopoiesis behavior biological causal cellular automaton chaos and complexity chaos theory children's friendship complex systems complexity theory components concept constraints control parameters culture describe deterministic developed dimension disaster division of labor dynamic systems economic effect emergent epoch equations evolution example existence feedback Figure Foucault fractal function holism household division human hyperstructure indicates individual initial conditions iteration limit cycle linear Lyapunov exponent mathematical means measure modern myths nations nature networks nonlinear dynamics observed omicron point opinion opioid organization organizational outcomes paradigm patterns phase physical possible postmodern prediction problem produce properties public policy question random relationships rules scientists self-organization Simmel simple simulation social science social systems society sociology sole responsibility solution space specific stable statistical stochastic strange attractor strategy streams of change structure tasks techniques theoretical theorists tion traditional understanding universe values variables