Books/Chapters/Articles
Embedded Files
Books
Books
Fractal Physiology: American Physiology Society, Methods in Physiology Series, Vol. 2
James B. Bassingthwaighte, Larry S. Liebovitch, Bruce J. West, 1994
Oxford University Press, New York NY, 10016, ISBN 0195080130
This book describes the properties of fractal patterns and measures and how they can be used to gain a better understanding of biology, particularly human physiology.
Fractals and Chaos Simplified for the Life Sciences
Larry S. Liebovitch, 1998
Oxford University Press, New York NY, 10016, ISBN 0-19-512024-8
This book explains the properties of fractals and chaos with examples from biology and medicine for people who are unfamiliar and/or afraid of mathematics.
Fractal Analysis in the Social Sciences
Clifford T. Brown and Larry S. Liebovitch, 2010
SAGE Publications, Thousand Oaks, CA, 91320, ISBN: 9781412971652
Step-by-step instructions for identifying and analyzing fractal patterns and the social process that create them.
Attracted to Conflict: Dynamic Foundations of Destructive Social Relations
Springer, New York, NY, 10013, ISBN: 978-3-642-35279-9
Addresses intractable social conflict from the new vantage point of dynamical systems.
Mathematical Modeling of Social Relationships
Editors: Urszula Strawinska-Zanko, Larry S. Liebovitch, 2018
Springer, New York, NY, 10013, ISBN: 978-3-319-76765-9
Research studies that use new methods of quantitative analysis and mathematical modeling to understand social processes.
2020. How Fractals Help Us See and Understand the World. L. S. Liebovitch. 2020. In A Fractal Epistemology for a Scientific Psychology, Ed. T. Marks-Tarlow, Y. Shapiro, K. P. Wolf, and H. Friedman, pp. 361-371 (Cambridge Scholars Publishing, Newcastle upon Tyne, UK).
2010. Determining the properties of gene regulatory networks from expression data. C. Marr, F. J. Theis, L. S. Liebovitch and M.-T. Huett. In Handbook of Research on Computational Methodologies in Gene Regulatory Networks, Eds. S. Das, D. Caragea, S. Welch, and W. H. Hsu, (IGI Publishers, Hershey PA), pp. 405-428.
2010. Open problems in the dynamics of the expression of gene interaction networks. L. S. Liebovitch and V. Naudot. In Frontiers in the Study of Chaotic Dynamical Systems with Open Problems, Ed. Z. Elhadj and J. C. Sprott, Work Scientific, Singapore, pp. 219-229.
2006. Structure of genetic regulatory networks: Evidence for scale free networks. L. S. Liebovitch, V. K. Jirsa, and L. A. Shehadeh. In Complexus Mundi: Emergent Patterns in Nature, Ed. M. M. Novak, World Scientific, Singapore, pp. 1-8.
2023. Word differences in news media of lower and higher peace countries revealed by natural language processing and machine learning. L. S. Liebovitch, W. Powers, L. Shi, A. Chen-Carrel, P. Loustaunau, and P T. Coleman.
preprint, https://arxiv.org/abs/2305.12537
PLOS ONE https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0292604
2023. Tools and Visualizations for Exploring Classification Landscapes. W. Powers, L. Shi and L. S. Liebovitch. 57th Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, USA, 2023, article: doi: 10.1109/CISS56502.2023.10089673
rehearsal video of presentation
2022. Conflict Dynamics in Scale-Free Networks with Degree Correlations and Hierarchical Structure. E. Jacobo-Villegas, B. Obregón-Quintana, L. Guzmán-Vargas, and L. S. Liebovitch. Entropy 24(11), 1571; Published 31 October 2022. https://doi.org/10.3390/e24111571.
2021. How to live in peace? Mapping the science of sustaining peace: A progress report. P. T. Coleman, J. Fisher, D. P. Fry, L. S. Liebovitch, A. Chen-Carrel, and G. Souillac. 2020. Am Psychol. Oct;76(7):1113-1127. doi: 10.1037/amp0000745.
2021. Societies within peace systems avoid war and build positive intergroup relationships. D. P. Fry, G. Souillac,, L. S. Liebovitch, P. T. Coleman, K. Agan, E. Nicholson-Cox, D. Mason, F. Palma Gomez, and S. Strauss. 2021. Nature: Humanities & Social Sciences Communications. Published 18 January, doi.org/10.1057/s41599-020-00692-8.
2019. Taking Complex Systems Seriously: Visualizing and Modeling the Dynamics of Sustainable Peace. P. T. Coleman, L. S. Liebovitch, and J. Fisher. 2019. Global Policy. 02 June, doi.org/10.1111/1758-5899.12680.
2019. Recurrence Networks in Natural Languages. E. Baeza-Blancas, B. Obregón-Quintana, C. Hernández-Gómez, D. Gómez-Meléndez, D. Aguilar-Velázquez, L. S. Liebovitch, and L. Guzmán-Vargas. 2019. Entropy 21(5), 517. doi.org/10.3390/e21050517.
2019. Approaches to Understanding Sustainable Peace: Qualitative Causal Loop Diagrams and Quantitative Mathematical Models. L. S. Liebovitch, P. T. Coleman, and J. Fisher. American Behavioral Scientist. Published July 4, 2019. doi.org/10.1177/0002764219859618.
2019. Complexity analysis of sustainable peace: mathematical models and data science measurements. L. S. Liebovitch, P. T. Coleman, A. Bechhofer, C. Colon, J. Donahue, C. Eisenbach, L. Guzmán-Vargas, D. Jacobs, A. Khan, C. Li, D. Maksumov, J. Mucia, M. Persaud, M. Salimi, L. Schweiger, and Q. Wang. 2019. New Journal of Physics. Published 8 July.
2017. Describing the dynamics, distributions, and multi-scale relationships in the time evolution of residential building energy consumption. H. Knowles III, M. E. Hostetler, and L. S. Liebovitch. Energy and Buildings. 158:310-325. doi.org/10.1016/j.enbuild.2017.09.071.
2015. The dynamic consequences of cooperation and competition in small-world networks. I Y. Fernandez-Rosales, L. S. Liebovitch, L. Guzmán-Vargas. PLOS ONE Published: April 30, 2015 DOI: 10.1371/journal.pone.0126234.
2015. Word-Length Correlations and Memory in Large Texts: A Visibility Network Analysis. L. Guzman-Vargas, B. Obregon-Quintana, D. Aguilar-Velazquez, R. Hernandez-Perez, and L. S. Liebovitch. Entropy 17:7798-7810; doi:10.3390/e17117798.
2015. Challenge Problem: Sustainable Peace. L. S. Liebovitch, P. T. Coleman, B. Fisher-Yoshida, J. Fisher, K. Mazzaro, D. Fry, P. Vandenbroeck, and S. Ortiz. Bloomberg Data for Good Exchange (http://www.bloomberg.com/company/d4gx/) .
2014. Behavioral and emotional dynamics of two people struggling to reach a consensus about a topic on which they disagree. L. Kurt, K. G. Kugler, P. T. Coleman, and L. S. Liebovitch. 2014. PLOS ONE Published: January 10, DOI: 10.1371/journal.pone.008460.
2013. Time-delay effects on dynamics of a two-actor conflict model. A. Rojas-Pacheco, B. Obregon-Quintana, L. S. Liebovitch, and L. Guzman-Vargas. Physica A392:458-467. http://dx.doi.org/10.1016/j.physa.2012.09.021.
2013. Volatile psychological dynamics in social interactions: Attitudes and emotions react asymmetrically to interaction shifts between agreement and disagreement. L. Michaels, R. R. Vallacher, and L. S. Liebovitch. Social Psychology and Personality Science 4:705-713. DOI: 10.1177/1948550613482985.
2012. A Mathematical Model of Psychotherapy: An Investigation Using Dynamic Non-linear Equations to Model the Therapeutic Relationship. P. R. Peluso, L. S. Liebovitch, J. M, Gottman, and J. Su. Psychotherapy Research, 22(1):40-55, doi:10.1080/10503307.2011.622314.
2011. Mathematical model of the dynamics of psychotherapy. L. S. Liebovitch, P. R. Peluso, M. D. Norman, J. Su, and J. M. Gottman. Cognitive Neurodynamics, doi: 10.1007/s11571-011-9157-x.
2010. Predicting optimal sweep rates for autoresonance in Duffing-type oscillators: A beat method using Teager-Kaiser instantaneous frequency. C. Witkov and L. S. Liebovitch. J. Sound and Vibration 329:1154-1164. doi:10.1016/j.jsv.2009.10.030.
2010. Correlated walks down the Babylonian markets. N. E. Romero, Q. D. Y. Ma, L. S. Liebovitch, C. T. Brown and P. Ch. Ivanov. Europhysics Letters 90:18004. doi: 10.1209/0295-5075/90/18004.
2010. Patterns of subnet usage reveal distinct scales of regulation in the transcriptional regulatory network of Escherichia coli. C. Marr, F. J. Theis, L. S. Liebovitch, and M.-T. Huett. PLoS Computational Biology, 6(7): e1000836. doi:10.1371/journal.pcbi.1000836.
2010. Dynamics of cooperation-competition interaction model, Peace and Conflict: L. S. Liebovitch, R. Vallacher, and J. Michaels. The Journal of Peace Psychology, 16(2):175-188.
2010. Dynamic stabilization in the PU1-GATA1 circuit using a model with time-dependent kinetic change. J. L. Michaels, V. Naudot, and L. S. Liebovitch. Bulletin of Mathematical Biology doi: 10.1007/s11538-010-9615-3.
2008. Dynamical response of multi-patch, flux-based models to the input of infected people: Epidemic response to initiated events. Y.-A. Rho, L. S. Liebovitch, and I. B. Schwartz. Physics Letters A372:5017-5025. doi:10.1016/j.physleta.2008.05.065.
2008. Dynamics of two-actor cooperation-competition conflict models. L. S. Liebovitch, V. Naudot, R. Vallacher, A. Nowak, L. Bui-Wrzosinska, and P. Coleman. Physica A387:6360-6378. doi: 10.1016/j.physa.2008.07.020.
2007. Developing combinatorial multi-component therapies (CMCT) of drugs that are more specific and have fewer side effects than traditional one drug therapies. L. S. Liebovitch, N. Tsinoremas, and A. Pandya. Nonlinear Biomedical Physics1:11 (30 August) doi:10.1186/1753-4631-1-1107.
2006. Relationship between global structures of genetic networks and mRNA levels measured by cDNA microarrays. L. A. Shehadeh, L. S. Liebovitch, and V. K. Jirsa. Physica A364 :297-314.
2006. What is "Self-Organization"? L. S. Liebovitch. 2006. Emerging: The Newsletter of the Plexus Institute April-August, pp. 16-19.
2006. Levy flights in Dobe Ju/'hoansi foraging patterns. C. T. Brown, L. S. Liebovitch, and R. Glendon. Human Ecology 35:129-138, DOI 10.1007/s10745-006-9083-4.
2005. The Broken Past: Fractals in Archaeology. C. T. Brown, W. R. T. Walter, and L. S. Liebovitch. J. Archaeological Method and Theory 12 :37-78.
2004. L. S. Liebovitch and I. B. Schwartz. Migration induced epidemics: Dynamics of Flux-based multi-patch models. Phys. Lett. A 332 :256-267.
2003. Information flow dynamics and timing patterns in the arrival of email viruses. L. S. Liebovitch and I. B. Schwartz. Phys. Rev. E68 :017101-1 - 017101-4.
2000. Two lessons from fractals and chaos. L. S. Liebovitch, and D. Scheurle. Complexity, 5(No.4):34-43.
1996. Is there an error checking code in the base sequence in DNA? L. S. Liebovitch, Y. Tao, A. T. Todorov, and L. Levine. Biophysical Journal, 71:1539-1544.
1994. Neural Networks to Compute Molecular Dynamics. L. S. Liebovitch, N. D. Arnold, and L. Y. Selector. J. Biol. Systems, 2(No. 2):193-228.
1987. Ion channel kinetics: a model based on fractal scaling rather than multistate Markov processes. L. S. Liebovitch, J. Fischbarg, and J. P. Koniarek. Math. Biosci., 84:37-68.
Page updated
Google Sites
Report abuse