Complexity Science Group

Overview

We use the tools of physics in understanding a wide range of complex phenomena in nature and society. Our work can be categorized under three major themes. We use complex network tools for describing the behavior of social complex systems. We also analyze the statistical distributions of nonlinear dynamical systems like natural hazards using empirical data and results from scaled experiments. Finally, we apply a complex systems perspective in modeling the processes involved in the growth, transport, and cellular interactions in biological systems.

Recent Publications

• AA Paguirigan Jr, MJG Angco, and JY Bantang, "A fragmentation model of earthquake-like behavior in internet access activity", Int. J Mod. Phys. C 28(7) (2017). DOI:10.1142/S0129183117500929

• Rene C. Batac and Holger Kantz, Observing spatiotemporal clustering and separation using interevent distributions of regional earthquakes, accepted for publication in Nonlinear Processes in Geophysics (May 2014).

• James Christopher Pang, Christopher Monterola, and Johnrob Bantang, Noise induced synchronization in a lattice Hodgkin-Huxley neural network, Physica A 393, 638-645 (2014). [DOI:10.1016/j.physa.2013.08.069].

• Erika Fille Legara, Christopher Monterola, and Clarissa David, Complex Network Tools in Building Expert Systems that Perform Framing Analysis, Expert Systems With Applications 40(11), 4600–4608 (2013). [DOI:10.1016/j.eswa.2013.01.064].

• James Christopher Pang, Johnrob Bantang, and Christopher Monterola, Effect of random link malfunctions to synchronization of Hodgkin-Huxley neurons in a lattice network, International Journal of Modern Physics C 23(3), 1250027 (2012). [DOI:10.1142/S0129183112500271].

• Rene Batac, Anthony Longjas, and Christopher Monterola, Statistical distributions of avalanche size and waiting times in an inter-sandpile cascade model, Physica A 391, 616-624 (2012). [DOI:10.1016/j.physa.2011.08.032].