Bibliografía: p. 325-345.

Introduction / Euel Elliot and L. Douglas Kiel -- Pt.1. Chaotic dynamics in social science data: 1. Exploring nonlinear dynamics with a spreadsheet: a graphical view of chaos for beginners / L. Douglas Kiel and Euel Elliot -- 2. Probing the underlying structure in dinamical systems: an introduction to spectral analysis / Michael McBurnett -- 3. Measuring chaos using the Lyapunov exponent / Thad A. Brown -- 4. The prediction test for nonlinear determinism / Ted Jaditz -- 5. From individuals to groups: the aggregation of votes and chaotic dynamics / Diana Richards -- Pt.2. Chaos theory and political science: 6. Nonlinear politics / Thad A. Brown -- 7. The prediction of unpredictability: applications of the new paradigm of chaos in dynamical systems to the old problem of the stability of a system of hostile nations / Alvin M. Saperstein -- 8. Complexity in the evolution of public opinion / Michael McBurnett -- Pt.3. Chaos theory and economics: 9. Chaos theory and rationality in economics / J. Barkley Rosser, Jr. -- 10. Long waves 1790-1990: intermittency, chaos, and control / Brian J. L. Berry and Heja Kim -- 11. Cities as spatial chaotic attractors / Dimitrios S. Dendrinos -- Pt.4. Implications for social systems management and social science: 12. Field-theoretic framework for the interpretation of the evolution, instability, structural change, and management of complex systems / Kenyon B. De Greene -- 13. Social science as the study of complex systems / David L. Harvey and Michael Reed -- References -- Contributors