News

■ our new papers:

Profile

Takehisa Hasegawa

  • Affiliation: Graduate School of Science and Engineering, Ibaraki University, 2-1-1, Bunkyo, Mito, 310-8512, JAPAN.
  • Status: Professor
  • Email: takehisa.hasegawa.sci(at)vc.ibaraki.ac.jp
  • Research field: Statistical Physics, Critical Phenomena and Phase Transition, Complex Network, Percolation.

Education

  • Ph.D. in Physics (March 2008)
    Department of Physics, the Graduate School of Science, Hokkaido University
    *Dissertation: ''Study on Spin Systems on Scale-free Networks with Tree-like Structures''
  • M.S. in Physics (March 2005)
    Department of Physics, the Graduate School of Science, Hokkaido University
  • B.S. in Physics (March 2003)
    Department of Physics, the School of Science, Hokkaido University

Experience

  • 2022.4 - : Professor
    affiliation: Graduate School of Science and Engineering, Ibaraki University
  • 2015.4 - 2022.3: Associate Professor
    affiliation: Mathematics and Infomatics, College of Science, Ibaraki University
  • 2011.4 - 2015.3: Assistant Professor
    affiliation: Collaborative Mathematics Research Unit, Graduate School of Information Sciences, Tohoku University
  • 2009.1 - 2011.3: Project Researcher
    affiliation: Graduate School of Information Science and Technology, The University of Tokyo
  • 2008.8 - 2008.12: COE Postdoctoral Fellow
    affiliation: Graduate School of Engineering, Hokkaido University
  • 2008.4 - 2008.7: Research Fellow
    affiliation: Department of Physics, the Faculty of Science, Hokkaido University

Teaching

  • [2024] [2023] [2022] College of Science, Ibaraki University, ''Programming A''.
  • [2023] [2022] [2021] [2020] [2019] [2018] [2017] [2016] [2015] College of Science, Ibaraki University, ''Introduction to Networks'', ''Exercises in Networks'', ''Fundamentals of Information Sciences''.
  • [2022] [2020] [2018] [2016] Graduate School of Science and Engeering, Ibaraki University, ''Mathematical Models II''.
  • [2023] [2021] [2019] [2017] [2015] Graduate School of Science and Engeering, Ibaraki University, ''Mathematical Models I''.
  • [2024] [2020] [2016] College of Science, Ibaraki University, ''Introduction to Mathematics''.
  • [2014] Graduate School of Information Sciences, Tohoku University ''Special Lecture I on Information Sciences''.
  • [2013] Graduate School of Information Sciences, Tohoku University ''Special Lecture III on Information Sciences''.
  • [2011] Graduate School of Information Sciences, Tohoku University ''Special Lecture II on Information Sciences''.
    * Lecture Note: An Introduction to Complex Networks

Publications

■ Peer-Reviewed Journals
■ Proceedings

Peer-Reviewed Journals

  1. Tomoyo Kawasumi and Takehisa Hasegawa.
    Robustness of Random Networks with Selective Reinforcement against Attacks.
    Physica A: Statistical Mechanics and its Applications, Vol. 649 (2024) 129958 (14 pages). (arXiv:2403.08535).
  2. Shinji Nishioka and Takehisa Hasegawa.
    Cascading Behavior of an Extended Watts Model on Networks.
    Journal of the Physical Society of Japan, Vol. 91, (2022) 124801 (7 pages). (arXiv:2112.10524)
  3. Shogo Mizutaka, Kizashi Mori, and Takehisa Hasegawa.
    Synergistic epidemic spreading in correlated networks.
    Physical Review E, Vol.106 (2022) 034305 (10 pages). (arXiv:2105.08992)
  4. Hiromu Watanabe and Takehisa Hasegawa.
    Impact of assortative mixing by mask-wearing on the propagation of epidemics in networks.
    Physica A: Statistical Mechanics and its Applications, Vol.603 (2022) 127760 (10 pages). (arXiv:2112.06589)
  5. Shogo Mizutaka and Takehisa Hasegawa.
    Revisiting finite size effect of percolation in degree correlated networks.
    Journal of the Physical Society of Japan, Vol.91 (2022) 044002 (5 pages). (arXiv:2112.02823)
  6. Takehisa Hasegawa and Yuta Iwase.
    Observability transitions in clustered networks.
    Physica A: Statistical Mechanics and its Applications, Vol. 573 (2021) 125970. (arXiv:1808.02255)
  7. Shogo Mizutaka and Takehisa Hasegawa.
    Emergence of Long-Range Correlations in Random Networks.
    Journal of Physics: Complexity, Vol. 1 (2020) 035007 (10pp). (arXiv:2006.08132)
  8. Takehisa Hasegawa and Shogo Mizutaka.
    Structure of percolating clusters in random clustered networks.
    Physical Review E, Vol. 101 (2020) 062310;1-12. (arXiv:1907.11130)
  9. Shogo Mizutaka and Takehisa Hasegawa.
    Percolation on a maximally disassortative network.
    EPL (Europhysics Letters), Vol.128 (2020) 46003. (arXiv:1905.08466)
  10. Shogo Mizutaka and Takehisa Hasegawa.
    Disassortativity of percolating clusters in random networks.
    Physical Review E, Vol.98 (2018) 062314;1-7. (arXiv:1807.08164)
  11. Takehisa Hasegawa and Koji Nemoto.
    Sudden spreading of infections in an epidemic model with a finite seed fraction.
    The European Physical Journal B, Vol.91 (2018) 58;1-8. (arXiv:1611.02809)
  12. Takehisa Hasegawa and Koji Nemoto.
    Efficiency of prompt quarantine measures on a susceptible-infected-removed model in networks.
    Physical Review E, Vol.96 (2017) 022311;1-8. (arXiv:1702.08203)
  13. Tomoaki Nogawa, Takehisa Hasegawa, and Koji Nemoto.
    Local cluster-size statistics in the critical phase of bond percolation on the Cayley tree.
    Journal of Statistical Mechanics: Theory and Experiment, Vol.2016 (2016) 053202. (arXiv:1602.00803)
  14. Takehisa Hasegawa and Koji Nemoto.
    Outbreaks in susceptible-infected-removed epidemics with multiple seeds.
    Physical Review E, Vol.93 (2016) 032324;1-10. (arXiv:1510.08637)
  15. Kazunori Sato, Takehisa Hasegawa, Satoru Morita, Jin Yoshimura, and Kei-ichi Tainaka.
    Advantage or disadvantage of migration in a prey-predator system.
    Far East Journal of Applied Mathematics, Vol.93 (2015) pp.109-121.
  16. Takehisa Hasegawa and Koji Nemoto.
    Discontinuous transition of a multistage independent cascade model on networks.
    Journal of Statistical Mechanics: Theory and Experiment, Vol.2014 (2014) P11024. (arXiv:1212.5547)
  17. Takehisa Hasegawa, Tomoaki Nogawa, and Koji Nemoto.
    Critical Phase in Complex Networks: a Numerical Study.
    Discontinuity, Nonlinearity, and Complexity, Vol.3 (2014) pp.319-346. (arXiv:1407.3454)
  18. Taro Takaguchi, Takehisa Hasegawa, and Yuichi Yoshida.
    Suppressing epidemics on networks by exploiting observer nodes.
    Physical Review E, Vol.90 (2014) 012807;1-6. (arXiv:1312.6468)
  19. Tomoaki Nogawa and Takehisa Hasegawa.
    Transition-type change between an inverted Berezinskii-Kosterlitz-Thouless transition and an abrupt transition in bond percolation on a random hierarchical small-world network.
    Physical Review E, Vol.89 (2014) 042803;1-5. (arXiv:1312.4697)
  20. Takehisa Hasegawa and Koji Nemoto.
    Hierarchical scale-free network is fragile against random failure.
    Physical Review E, Vol.88 (2013) 062807;1-5. (arXiv:1312.2336)
  21. Takehisa Hasegawa, Tomoaki Nogawa, and Koji Nemoto.
    Profile and scaling of the fractal exponent of percolations in complex networks.
    EPL (Europhysics Letters), Vol.104 (2013) 16006;p1-p6. (arXiv:1009.6009)
  22. Takehisa Hasegawa, Taro Takaguchi, and Naoki Masuda.
    Observability transitions in correlated networks.
    Physical Review E, Vol.88 (2013) 042809;1-11. (arXiv:1309.1862)
  23. Takehisa Hasegawa and Tomoaki Nogawa.
    Absence of the non-percolating phase for percolation on the non-planar Hanoi network.
    Physical Review E, Vol.87 (2013) 032810;1-4. (arXiv:1212.5545)
  24. Tomoaki Nogawa, Takehisa Hasegawa, and Koji Nemoto.
    Criticality governed by the stable renormalization fixed point of the Ising model in the hierarchical small-world network.
    Physical Review E, Vol.86 (2012) 030102(R);1-4. (arXiv:1206.5064)
  25. Takehisa Hasegawa, Keita Konno, and Koji Nemoto.
    Robustness of correlated networks against propagating attacks.
    The European Physical Journal B - Condensed Matter And Complex Systems, Vol.85 (2012) 262;1-6. (arXiv:1203.3621)
  26. Tomoaki Nogawa, Takehisa Hasegawa, and Koji Nemoto.
    Generalized Scaling Theory for Critical Phenomena Including Essential Singularities and Infinite Dimensionality.
    Physical Review Letters, Vol.108 (2012) 255703;1-5. (arXiv:1206.5062)
  27. Takehisa Hasegawa, Masataka Sato, and Koji Nemoto.
    Phase transition without global ordering in a hierarchical scale-free network.
    Physical Review E, Vol.85 (2012) 017101;1-4. (arXiv:1109.3842)
  28. Takehisa Hasegawa.
    An Introduction to Complex Networks.
    Interdisciplinary Information Sciences, Vol.17 (2011) 175-195.
  29. Takehisa Hasegawa and Naoki Masuda.
    Robustness of networks against propagating attacks under vaccination strategies.
    Journal of Statistical Mechanics: Theory and Experiment, Vol.2011 (2011) P09014;1-17. (arXiv:1102.4878)
  30. Takehisa Hasegawa, Norio Konno, and Naoki Masuda.
    Numerical study of a three-state host-parasite system on the square lattice.
    Physical Review E, Vol.83 (2011) 046102;1-9. (arXiv:1006.4428)
  31. Takehisa Hasegawa, Masataka Sato, and Koji Nemoto.
    Generating-function approach for bond percolations in hierarchical networks.
    Physical Review E, Vol.82 (2010) 046101;1-7. (arXiv:1004.5087)
  32. Takehisa Hasegawa and Koji Nemoto.
    Critical phase of bond percolation on growing networks.
    Physical Review E, Vol.81 (2010) 051105;1-5. (arXiv:1004.0795)
  33. Takehisa Hasegawa and Koji Nemoto.
    Ferromagnetic Ising spin systems on the growing random tree.
    Physical Review E, Vol.80 (2009) 026126;1-7.
  34. Tomoaki Nogawa and Takehisa Hasegawa.
    Reply to the comment on ‘Monte Carlo simulation study of the two-stage percolation transition in enhanced binary trees’.
    Journal of Physics A: Mathematical and Theoretical, Vol.42 (2009) 478002;1-4. (arXiv:0910.5812)
  35. Tomoaki Nogawa and Takehisa Hasegawa.
    Monte-Carlo simulation study of the two-stage percolation transition in enhanced binary tree.
    Journal of Physics A: Mathematical and Theoretical, Vol.42 (2009) 145001;1-8. (arXiv:0810.1602)
  36. Takehisa Hasegawa and Koji Nemoto.
    Susceptibility of the Ising model on the scale free network with a Cayley tree-like structure.
    Physica A: Statistical mechanics and its applications, Vol. 387 (2008) 1404-1410.
  37. Takehisa Hasegawa and Koji Nemoto.
    Ising model on the scale-free network with a Cayley-tree-like structure.
    Physical Review E, Vol.75 (2007) 026105;1-6.
  38. Takehisa Hasegawa and Koji Nemoto.
    Real Space Renormalization Group Analysis with the Replica Method for the Two Dimensional Ising Edwards-Anderson Model.
    Journal of the Physical Society of Japan, Vol.75 (2006) 074701;1-7.

Proceedings

  1. Takehisa Hasegawa and Tomoaki Nogawa.
    Origin of the critical phase in complex networks.
    to appear in Topologica, Vol.3 (2014).
  2. Taro Takaguchi, Takehisa Hasegawa, and Yuichi Yoshida.
    Effect of observer nodes on epidemic spreading in networks.
    to appear in Topologica, Vol.3 (2014).
  3. Yusuke Ikeda, Takehisa Hasegawa, and Koji Nemoto.
    Cascade dynamics on clustered network.
    Journal of Physics: Conference Series, Vol.221 (2010) 012005;1-6.
  4. Takehisa Hasegawa and Naoki Masuda.
    Information cascades with aging of nodes in networks.
    Proceedings of the 9th Asia-Pacific Complex Systems Conference, (2009) pp.129-131.
  5. Takehisa Hasegawa and Koji Nemoto.
    Real Space Renormalization Group Analysis with the Replica Method for the Two Dimensional Ising Spin Glass.
    Topological Aspects of Critical Systems and Networks, World Scientific Publishing Co.,Singapore, (2007) pp.208-213.

Talks at International Conferences and Workshops

  1. Shogo Mizutaka* and Takehisa Hasegawa.
    Long-range degree correlations of fractal clusters in random networks.
    COMPLEX NETWORKS 2019, Lisbon, Portugal, December 10-12, 2019. (regular talk)
  2. Takehisa Hasegawa* and Tomoaki Nogawa.
    Inevitable Fragility of Hierarchical Networks against Random Node Failures.
    the 27th International Conference on Statistical Physics (StatPhys 27), Buenos Aires, Argentina, July 8-12, 2019. (poster)
  3. Shogo Mizutaka* and Takehisa Hasegawa.
    Degree correlations of percolating clusters in random networks.
    the 27th International Conference on Statistical Physics (StatPhys 27), Buenos Aires, Argentina, July 8-12, 2019. (poster)
  4. Shogo Mizutaka* and Takehisa Hasegawa.
    Negative degree correlations of percolating clusters in random networks.
    Critical and Collective Effects in Graphs and Networks 2019 (CCEGN2019), Les Houches, France, May 5-10, 2019. (poster)
  5. Takehisa Hasegawa.
    Outbreaks in the SIR epidemics with multiple seeds - a statistical physics approach.
    The 2016 (26th) annual meeting of the Japanese Society for Mathematical Biology (JSMB2016), Fukuoka, September 7-9, 2016. (oral)
  6. Takehisa Hasegawa.
    Recent Problems of Network Science.
    The 8th International Congress on Industrial and Applied Mathematics (ICIAM2015), Beijing, China, August 10-14, 2015. (oral)
  7. Takehisa Hasegawa, Taro Takaguchi*, and Naoki Masuda.
    Network observability transitions with degree correlation.
    NetSci2014, Berkeley, US, June 2-6, 2014. (poster)
  8. Takehisa Hasegawa*.
    Bond percolation and site percolation in complex networks.
    International Joint Research Week on Non-Commutative Stochastic Systems: Analysis, Modelling, and Applications, Sendai, February 3-7, 2014. (oral)
  9. Takehisa Hasegawa, Taro Takaguchi*, and Naoki Masuda.
    Impact of Correlated Structure on Network Observability Transition.
    The 3rd International Symposium on Innovative Mathematical Modeling Institute of Industrial Science, Tokyo, November 12-15, 2013. (poster)
  10. Takehisa Hasegawa*.
    Classification of Phase Transitions in Complex Networks: a Monte-Carlo study.
    International Conference on Stochastic Analysis and Applications 2013, Hammamet, Tunisia, October 14-19, 2013. (invited)
  11. Takehisa Hasegawa*.
    Origin of the critical phase in complex networks.
    Mathematics of Complex Systems, Bielefeld, Germany, October 7-9, 2013. (invited)
  12. Takehisa Hasegawa*.
    Origin of the critical phase in complex networks.
    Phase Transition, Critical Phenomena and Related Topics in Complex Networks, Sapporo, September 9-11, 2013. (invited)
  13. Takehisa Hasegawa*.
    Classification of Phase Transitions in Complex Networks.
    Statistical Physics of Disordered Systems and its Applications 2013, Sendai, March 20-21, 2013. (invited)
  14. Takehisa Hasegawa*.
    Phase transition of bond percolation on nonamenable graphs and complex networks: a Monte-Carlo study.
    CREST "Kotani Team" Workshop "Random Media II", Sendai, September 3-7, 2012. (invited)
  15. Takehisa Hasegawa*.
    Percolation on complex networks and nonamenable graphs.
    ECT* Workshop "Spectral Properties of Complex Networks", Trento, Italy, July 23-27, 2012. (invited)
  16. Takehisa Hasegawa*.
    Vaccination strategy by network theory.
    The 2nd German-Japanese University Presidents’ Conference, Kyoto, March 29-30, 2012. (oral)
  17. Takehisa Hasegawa*.
    Novel Percolation Transition in Complex Networks and Nonamenable Graphs.
    Smart Workshop: Exploring Collaborative Mathematics, Sendai, March 13-14, 2012. (oral)
  18. Takehisa Hasegawa*, Tomoaki Nogawa, and Koji Nemoto.
    Percolation on complex networks and nonamenable graphs.
    Tunisian Japanese Symposium on Science, Society and Technology 2011, Hammamet, Tunisia, November 11-13, 2011. (oral)
  19. Takehisa Hasegawa*.
    Percolation on complex networks and nonamenable graphs.
    Stochastic Dynamics in Mathematics, Physics and Engineering, Bielefeld, Germany, November 2-4, 2011. (invited)
  20. Takehisa Hasegawa* and Naoki Masuda.
    Information cascade with aging of nodes in networks.
    the 9th Asia-Pacific Complex Systems Conference, Tokyo, November 4-7, 2009. (oral)
  21. Takehisa Hasegawa* and Tomoaki Nogawa.
    Monte-Carlo simulations for two-stage percolation transition of the enhanced trees.
    APS March Meeting 2009, Pittsburgh, USA, March 16-20, 2009. (poster)
  22. Takehisa Hasegawa*.
    Two-stage transitions on a nonamenable graph.
    International Symposium on Topological Science and Technology for Young Researchers 2009, Sapporo, March 3-5, 2009. (poster)
  23. Yusuke Ikeda*, Takehisa Hasegawa, and Koji Nemoto.
    Cascade dynamics on clustered network.
    Applications of Physics in Financial Analysis 7th International Conference, Tokyo, March 1-5, 2009. (poster)
  24. Tomoaki Nogawa* and Takehisa Hasegawa.
    Numerical Study of Multiple Phase Transitions on Nonamenable Graphs.
    International Conference on Complex Networks: The Past 10 Years and Future, Seoul, Korea, December 19-22, 2008. (poster)
  25. Takehisa Hasegawa* and Koji Nemoto.
    Analysis of unusual phase transitions on growing random trees.
    International Conference on Complex Networks: The Past 10 Years and Future, Seoul, Korea, December 19-22, 2008. (poster)
  26. Yusuke Ikeda*, Takehisa Hasegawa, and Koji Nemoto.
    Effects of clustering structure on information cascades.
    International Conference on Complex Networks: The Past 10 Years and Future, Seoul, Korea, December 19-22, 2008. (poster)
  27. Takehisa Hasegawa* and Koji Nemoto.
    Susceptibility of the Ising model on the growing random network model.
    NSC Winter Workshop 2008: Complex Nonlinear Dynamics ranging from Biology and Engineering, Sapporo, March 8-9, 2008. (oral)
  28. Takehisa Hasegawa* and Koji Nemoto.
    Ising model on the tree-like scale free networks bounded by leaves.
    the 23rd International Conference on Statistical Physics of the International Union for Pure and Applied Physics, Genoa, Italy, July 9-13, 2007. (poster)
  29. Takehisa Hasegawa* and Koji Nemoto.
    Real Space Renormalization Group Analysis with the Replica Method for the Two Dimensional Ising Spin Glass.
    International Symposium on "Topological Aspects of Critical Systems and Networks", Sapporo, February 13-14, 2006. (poster)

Activities

■ Organizing Workshops
■ Referee Activities

Organizing Workshops

  1. Characterizing complex networks through dynamics, Beijing, China, August 10-14, 2015.
    * minisymposia in ''The 8th International Congress on Industrial and Applied Mathematics (ICIAM2015)''.
  2. Phase Transition, Critical Phenomena and Related Topics in Complex Networks, Hokkaido University, Sapporo, September 9-11, 2013.
  3. Frontier of Statistical Physics and Information Processing, Kyoto University, Kyoto, July 11-14, 2013.
  4. Workshop on nonlinear PDEs--PDE approach to network and related topics--, Tohoku University, Sendai, June 27-29, 2013.

Referee Activities

  • Entropy
  • IEICE Transactions on Information and Systems
  • Interdisciplinary Information Sciences
  • IPSJ Journal (情報処理学会論文誌)
  • Journal of Statistical Mechanics: Theory and Experiment
  • Journal of the Korean Physical Society
  • Journal of the Physical Society of Japan
  • Journal of the Royal Society Interface
  • Journal of Theoretical Biology
  • Physica A
  • Physical Review E
  • Physical Review Letters
  • Physical Review X
  • Physics Letters A
  • PLOS ONE
  • Royal Society Open Science
  • Topologica

↑ PAGE TOP