I study the complex systems that can arise from simple rules. This study has brought me to a wide range of problem domains and tools: from systems of oscillators whose interactions can create confounding behaviors, to studying questions of longevity and evolution as well as fundamental questions in graph theory. Throughout, my research projects have shown that careful and detailed thinking can reveal broad and general characterizations but also that many of the current approaches involve significant limitations which more specific and detailed analysis can circumvent.
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(*) - Supervised Undergraduate Students, (‡) - Supervised Graduate Student, (∓) - ASU Student
Artiglio, G., Youkhana, A., and Nishimura, J., 2024. The Population Lotto Game: How strategic resource allocation structures non-transitive outcomes in pairwise competitions. International Journal of Game Theory.
Enkhzaya, E.‡, Nishimura, J., and Cochran, A., 2023. Placing approach-avoidance conflict within the framework of multi-objective reinforcement learning. Bulletin of Mathematical Biology, 85(11).
Sandrin, S., Nishimura, J., Sexton, M.∓, Barbosa, S.∓, Marshall, P., Chapman, A., McCarthy, N., and Tuohy, J., 2023. "I thought it was a little risky": Student perceptions of barriers to transferring even with financial, mentoring, and articulation support. Journal of Community College Research and Practice [Pedagogical].
Goodloe, O., Zhao, Z.*, and Nishimura, J., 2022. Consistency Rank: Measuring the consistency of judgements in networks of endorsements and accusations. Journal of Complex Networks, 10(3).
Nishimura, J., and Zhao, Y., 2022. Classically boosted network embeddings. Journal of Complex Networks, 10(1).
Enkhtaivan, E.‡, Nishimura, J., Ly, C., and Cochran, A., 2021. A competition of critics in human decision-making. Computational Psychiatry, 5(1).
Nishimura, J. and Goodloe, O.*, 2020. Consistency dynamics in accusation-endorsement networks with an external judge. Journal of Complex Networks 8 (1).
Goodloe, O.* and Nishimura, J., 2019. Modeling Social and Lunar Coordination in the Spawning Behavior of Fundulus heteroclitus. Communications in Nonlinear Science and Numerical Simulation, 72, pp.360-370.
Nishimura, J., 2018. Critically slow learning in flashcard learning models. Chaos, 28, pp.083115.
Fosdick, B.K., Larremore, D.B., Nishimura, J. and Ugander, J., 2018. Configuring random graph models with fixed degree sequences. SIAM Review, 60(2), pp.315-355. [Code]
Nishimura, J., 2018. The connectivity of graphs of graphs with self-loops and a given degree sequence. Journal of Complex Networks.
Nishimura, J., Smith, R.*, Jensen, K., Ankley, G. and Watanabe, K., 2017. Estimating Intermittent Individual Spawning Behavior via Disaggregating Group Data. Bulletin of mathematical biology, pp.1-14.
Herrera, M.*, Miller, A.* and Nishimura, J., 2017. Altruistic aging: The evolutionary dynamics balancing longevity and evolvability. Mathematical biosciences and engineering: MBE, 14(2), pp.455-465.
Nishimura, J., 2015. Frequency adjustment and synchrony in networks of delayed pulse-coupled oscillators. Physical Review E, 91(1), p.012916.
Nishimura, J. and Ugander, J., 2013, August. Restreaming graph partitioning: simple versatile algorithms for advanced balancing. In Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 1106-1114). ACM.
Nishimura, J. and Friedman, E.J., 2012. Probabilistic convergence guarantees for type-ii pulse-coupled oscillators. Physical Review E, 86(2), p.025201.
Nishimura, J. and Friedman, E.J., 2011. Robust convergence in pulse-coupled oscillators with delays. Physical review letters, 106(19), p.194101.
Friedman, E.J. and Nishimura, J., 2010. Explosive percolation in social and physical networks. arXiv preprint arXiv:1001.4772.
Nishimura, J. and Kutz, J.N., 2008. Stability and interactions of transverse field structures in optical parametric oscillators near resonance detuning. Journal of Physics B: Atomic, Molecular and Optical Physics, 41(6), p.065401.