The Study of Language and Conversation with Recurrence Analysis Methods

Abarbanel, H.D.I (1996). Analysis of observed chaotic data. New-York: Springer.10.1007/978-1-4612-0763-4Search in Google Scholar

Angus, D., Smith, A.E., & Wiles, J. (2012). Conceptual recurrence plots: Revealing patterns in human discourse. IEEE Transactions on Visualization and Computer Graphics, 18 (6), 988-997.10.1109/TVCG.2011.100Search in Google Scholar

Angus, D., Watson, B., Smith, A., Gallois, C., & Wiles, J. (2012). Visualising conversa­tion structure across time: Insights into effective doctor-patient consultations. PLoS ONE, 7 (6): e38014.Search in Google Scholar

Bassingthwaighte, J., Liebovitch, L., & West, B. (1994). Fractal physiology. New York: Oxford University Press.10.1007/978-1-4614-7572-9Search in Google Scholar

Burrus, C. (2012). Fast fourier transforms. Retrieved from the Connexions Web site: <http://cnx.org/content/col10550A.22/>Search in Google Scholar

Costall, A. (2004). From Darwin to Watson (and cognitivism) and back again: The principle of animal-environment mutuality. Behavior and Philosophy, 32, 179-195Search in Google Scholar

Dale, R. & Spivey, M.J. (2006). Unraveling the dyad: Using recurrence analysis to explore patterns of syntactic coordination between children and caregivers in conversation. Language Learning, 56 (3), 391-430.10.1111/j.1467-9922.2006.00372.xSearch in Google Scholar

Dale, R. & Spivey, M.J. (2005). Categorical recurrence analysis of child language. In B. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the 27th Conference of the Cognitive Science Society (pp. 530-535). Mahwah, NJ: Lawrence Erlbaum.Search in Google Scholar

Eckmann, J.-P., Kamphorst, S.O., & Ruelle, D. (1987). Recurrence plots of dynamical systems. Europhysics Letters, 4, 973-977.10.1209/0295-5075/4/9/004Search in Google Scholar

Fraser A.M. & Swinney H.L. (1986). Independent coordinates for strange attractors from mutual information. Physical Review A, 33, 1134-1140.10.1103/PhysRevA.33.1134Search in Google Scholar

Fusaroli, R., Tylen, C., & R^czaszek-Leonardi, J. (under review). Dialogue as synergy.Search in Google Scholar

Haken, H. (1983). Synergetics, an introduction: Nonequilibrium phase transitions and self-organization in physics, chemistry, and biology. New York: Springer.10.1007/978-3-642-88338-5Search in Google Scholar

Kelso, J.A.S. (1995). Dynamic patterns: The self-organization of brain and behavior. Cambridge: MIT Press.Search in Google Scholar

MacWhinney, B. (2000). The CHILDES project: Tools for analyzing talk. Mahwah, NJ: Erlbaum.Search in Google Scholar

Orsucci, F., Walter, K., Giuliani, A., Webber, C.L.Jr., & Zbilut J.P. (1999). Orthographic structuring of human speech and texts: Linguistic application of recurrence quantification analysis. International Journal of Chaos Theory and Applica­tions, 4 (2-3), 21-28.Search in Google Scholar

Orsucci, F., Giuliani, A., Zbilut, J.P. (2004). Structure & coupling of semiotic sets, In: Experimental Chaos Conference 8, Florence, AIP Conference Proceed­ings, 742 (1), 83-93.10.1063/1.1846464Search in Google Scholar

Orsucci F., Giuliani, A., Webber, C.L.Jr., Zbilut, J.P., Fonagy, P., & Mazza, M. (2006). Combinatorics and synchronization in natural semiotics. Physica A, 361 (2), 665-676.10.1016/j.physa.2005.06.044Search in Google Scholar

Pellecchia, G.L. & Shockley, K. (2005). Application of recurrence quantification analysis: Influence of cognitive activity on postural fluctuations. In M.A. Riley & G.C. Van Orden (Eds.), Tutorials in contemporary nonlinear methods for the behavioral sciences (pp. 95-141). Retrieved June 1, 2012, from <http://www.nsf>.gov/sbe/bcs/pac/nmbs/nmbs.jspSearch in Google Scholar

Pickering, M. & Garrod, S. 2004. Toward a mechanistic psychology of dialogue. Behavioral and Brain Sciences, 27 (2), 169-190.Search in Google Scholar

Port, R., & van Gelder, T. (Eds.) (1995). Mind as motion: Explorations in the dynam­ics of cognition. Cambridge: MIT Press.Search in Google Scholar

Ra̧̧czaszek-Leonardi, J. & Cowley, S. (2012). The evolution of language as controlled collectivity. Interaction Studies, 13 (1), 1-16.Search in Google Scholar

Richardson, D.C., Dale R., & Kirkham N.Z. (2007). The art of conversation is coordi­nation: Common ground and the coupling of eye movements during dialogue. Psychological Science, 18 (5), 407-413.10.1111/j.1467-9280.2007.01914.xSearch in Google Scholar

Riley, M.A., Balasubramaniam, R., & Turvey, M.T. (1999). Recurrence quantification analysis of postural fluctuations. Gait and Posture, 9, 65-78.10.1016/S0966-6362(98)00044-7Search in Google Scholar

Salton, G. (1989). Automatic text processing: The transformation, analysis, and retrieval of information by computer. Boston, MA: Addison-Wesley.Search in Google Scholar

Shockley, K., Santana, M.-V., & Fowler, C.A. (2003). Mutual interpersonal postural constraints are involved in cooperative conversation. Journal of Experimental Psychology: Human Perception and Performance, 29, 326-332.Search in Google Scholar

Takens, F. (1981). Detecting strange attractors in turbulence. In D. Rand & L.-S. Young (Eds.), Dynamical systems and turbulence, Lecture notes in mathemat­ics. Vol. 898 (pp. 366-381). Berlin: Springer.Search in Google Scholar

Thelen, E. & Smith, L.B. (1994). A dynamic systems approach to the development of cognition and action. Cambridge, MA: The MIT Press.Search in Google Scholar

Tschacher, W. & Dauwalder, J.P. (Eds.) (2003). The dynamical systems approach to cognition: Concepts and empirical paradigms based on self-organization, em­bodiment, and coordination dynamics. Singapore: World Scientific Publishing.10.1142/5395Search in Google Scholar

Van Orden, G.C., Holden, J.G., & Turvey, M.T. (2003). Self-organization of cogni­tive performance. Journal of Experimental Psychology: General, 132, 331-350.10.1037/0096-3445.132.3.331Search in Google Scholar

Webber, C.L.Jr., Schmidt, M.A., & Walsh, J.M. (1995). Influence of isometric loading on biceps EMG dynamics as assessed by linear and nonlinear tools. Journal of Applied Physiology, 78, 814-822.10.1152/jappl.1995.78.3.814Search in Google Scholar

Webber, C.L.Jr. & Zbilut, J.P. (1994). Dynamical assessment of physiological systems and states using recurrence plot strategies. Journal of Applied Physiology, 76, 965-973.10.1152/jappl.1994.76.2.965Search in Google Scholar

Webber, C.L.Jr. & Zbilut, J.P. (2005). Recurrence quantification analysis of nonlinear dynamical systems. In M.A. Riley & G.C. Van Orden (Eds.), Tutorials in con­temporary nonlinear methods for the behavioral sciences (pp. 26-94). Retrieved June 1, 2012, from <http://www.nsf.gov/sbe/bcs/pac/nmbs/nmbs.jsp>Search in Google Scholar

Zbilut, J.P. & Webber, C.L.Jr. (1992). Embeddings and delays as derived from quan­tification of recurrence plots. Physics Letters A, 171, 199-203.10.1016/0375-9601(92)90426-MSearch in Google Scholar

Zbilut, J.P. & Webber, C.L.Jr. (2006). Recurrence quantification analysis. In M. Akay (Ed.), Wiley encyclopedia of biomedical engineering. Hoboken, NJ: John Wiley & Sons.Search in Google Scholar

Zbilut, J.P., Sirabella, P., Giuliani, A., Manetti, C., Colosimo, A., & Webber, C.L.Jr. (2002). Review of nonlinear analysis of proteins through recurrence quantifica­tion. Cell Biochemistry and Biophysics, 36, 67-87.10.1385/CBB:36:1:67Search in Google Scholar