Shogo MizutakaAssociate Professor
■Researcher basic information
Organization
Career
- Apr. 2025 - Present, Ibaraki University, 理工学研究科 応用理工学野, 准教授
- Oct. 2024 - Present, 戦略的創造研究推進事業（ERATO） 酒井複素ゲル, 研究員
- Apr. 2023 - Mar. 2025, Ibaraki University, Graduate School of Science and Engineering, 助教
- Feb. 2020 - Mar. 2023, Japan Advanced Institute of Science and Technology, 助教
- Apr. 2018 - Jan. 2020, Ibaraki University, 理学部, 日本学術振興会特別研究員(PD)
- Apr. 2016 - Mar. 2018, The Institute of Statistical Mathematics, 統計思考院, 特任助教
- Apr. 2015 - Mar. 2016, Hokkaido University, 工学研究院 応用物理学専攻, 日本学術振興会特別研究員(PD)
Message from Researchers
(Message from Researchers)
個人ページ：http://mizutaka.cis.ibaraki.ac.jp
ネットワーク科学研究会：https://www.network-science-seminar.com
■Research activity information
Paper
- Property of Social Networks with Bipartite Structure
Mizutaka Shogo; Fujiki Yuka, Last, This study focuses on the bipartite network structure that describes social interactions. We analyze the characteristicsof the projection of bipartite network by comparing them with randomized models (BiCM1 and BiCM2)with different constraints. By evaluating the number of motifs, such as triangles, triplets, and cycles, as well as globalclustering coefficients and degree correlation coefficients, for both real and randomized data, we explore the originsof structural characteristics in social networks. The results reveal that real data exhibit a heterogeneous structure ofmultiple overlap cliques, contributing to the strengthening of clustering and degree correlation. In addition, positivedegree correlations within cliques and the frequency of six-cycle appearances suggest the potential influence of socialand psychological factors that simple structural constraints cannot fully capture. These analyses provide a foundationfor understanding the structure of bipartite networks and quantifying preference effects underlying real-world data., The Japanese Society for Artificial Intelligence
Transactions of the Japanese Society for Artificial Intelligence, 01 Mar. 2026, [Reviewed] - Network Robustness against Vertex Removal Based on Cycle-Redundancy Score
Kimoto Haruhisa; Mizutaka Shogo, Last, Complex infrastructure, as well as economic and social systems, are often represented as networks. The continuedoperation of most networks is threatened by random failures and targeted attacks. Therefore, quantifying andimproving network robustness remains a fundamental challenge in network science. The optimal percolation probleminvolves identifying the smallest set of nodes whose removal would most rapidly fragment the network. Recent evidencesuggests that the presence of redundant cycles significantly restricts optimal solutions. Building on this insight,we propose the Cycle-Redundancy Score (CRS), a purely local metric that estimates the number of independent cyclessupported by a node. We also design a CRS-guided attack algorithm. We tested the robustness of networks againstCRS-guided attacks on both synthetic and empirical networks. On synthetic networks, CRS dismantles networks asquickly as CoreHD. However, on empirical networks with pronounced clustering, CRS systematically underperformscompared to CoreHD and Collective-Influence attacks. A comparative analysis reveals that strong local clustering effectivelyprotects important nodes from early removal, thereby limiting the effectiveness of CRS. These results clarifythe circumstances in which cycle-based dismantling is advantageous and emphasize the necessity of attack strategiesthat can adapt to mesoscale clustering., The Japanese Society for Artificial Intelligence
Transactions of the Japanese Society for Artificial Intelligence, 01 Mar. 2026, [Reviewed] - Properties of the connected components in projections of random bipartite networks: effects of clique size fluctuations
Yuka Fujiki; Shogo Mizutaka, Last
Applied Network Science, Dec. 2024, [Reviewed] - Crossover phenomenon in adversarial attacks on voter model
Shogo Mizutaka, Lead
Journal of Physics: Complexity, 01 Sep. 2023, [Reviewed] - Synergistic epidemic spreading in correlated networks
Shogo Mizutaka; Kizashi Mori; Takehisa Hasegawa, Lead
Physical Review E, Sep. 2022, [Reviewed] - Revisiting Finite Size Effect of Percolation in Degree Correlated Networks
Shogo Mizutaka; Takehisa Hasegwa, Lead
Journal of the Physical Society of Japan, Apr. 2022, [Reviewed] - Emergence of long-range correlations in random networks
Shogo Mizutaka; Takehisa Hasegawa, Lead
Journal of Physics: Complexity, Dec. 2020, [Reviewed] - Structure of percolating clusters in random clustered networks
Takehisa Hasegawa; Shogo Mizutaka
Physical Review E, Jun. 2020, [Reviewed] - Pregnancy parturition scars in the preauricular area and the association with the total number of pregnancies and parturitions
Yuriko Igarashi; Kunio Shimizu; Shogo Mizutaka; Kotaro Kagawa
American Journal of Physical Anthropology, 01 Feb. 2020, [Reviewed] - Simple model of fractal networks formed by self-organized critical dynamics
Shogo Mizutaka, Lead
Journal of the Physical Society of Japan, 2019, [Reviewed] - Percolation on a maximally disassortative network
Shogo Mizutaka; Takehisa Hasegawa, Lead
EPL, 2019, [Reviewed] - Disassortativity of percolating clusters in random networks
Shogo Mizutaka; Takehisa Hasegawa, Lead
Physical Review E, 18 Dec. 2018, [Reviewed] - Fractality and degree correlations in scale-free networks
Yuka Fujiki; Shogo Mizutaka; Kousuke Yakubo
European Physical Journal B, 01 Jul. 2017, [Reviewed] - Structural instability of large-scale functional networks
Shogo Mizutaka; Kousuke Yakubo, Lead
PLoS ONE, Jul. 2017, [Reviewed] - Robustness analysis of bimodal networks in the whole range of degree correlation
Shogo Mizutaka; Toshihiro Tanizawa, Lead
Physical Review E, 17 Aug. 2016, [Reviewed] - Fractal and small-world networks formed by self-organized critical dynamics
Akitomo Watanabe; Shogo Mizutaka; Kousuke Yakubo
Journal of the Physical Society of Japan, 15 Nov. 2015, [Reviewed] - Robustness of scale-free networks to cascading failures induced by fluctuating loads
Shogo Mizutaka; Kousuke Yakubo, Lead
Physical Review E, 20 Jul. 2015, [Reviewed] - Network fragility to overload failures: Influence of the scale-free property
Shogo Mizutaka; Kousuke Yakubo, Lead, Oxford University Press
Journal of Complex Networks, 01 Dec. 2014, [Reviewed] - Structural robustness of scale-free networks against overload failures
Shogo Mizutaka; Kousuke Yakubo, Lead
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 08 Jul. 2013, [Reviewed] - Overload network failures: An approach from the random-walk model
Shogo Mizutaka; Kousuke Yakubo, Lead
Proceedings - 2013 International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2013, 2013, [Reviewed] - Testing the order parameter of the anderson transition
Kousuke Yakubo; Shogo Mizutaka
Journal of the Physical Society of Japan, Oct. 2012, [Reviewed]
Lectures, oral presentations, etc.
- 二重連結成分構造に基づく大域的サイクル除去とネットワーク分解
早坂光喜; 水高将吾
第21回 ネットワーク生態学シンポジウム, 07 Mar. 2026 - 二重連結成分構造に基づくサイクル指向型ネットワーク分解
早坂光喜; 水高将吾
ネットワーク科学研究会2025, 17 Feb. 2026 - 通信ネットワークにおける量子鍵配布プロトコル実装のネットワーク科学的解析
大峡航太; 水高将吾
ネットワーク科学研究会2025, 17 Feb. 2026 - ランダムネットワークの長距離次数相関
水高将吾
電子情報通信学会 企画シンポジウム ネットワーク科学の最前線 〜数理で読み解くネットワーク〜, 27 Mar. 2025, [Invited] - 情報社会とネットワーク科学：創造社会に向けて
水高将吾
茨城県情報サービス産業協会 先進技術セミナー, 28 Nov. 2024, [Invited] - 複雑ネットワークにおける関節点統計とその応用
水高将吾; 長谷川雄央
日本物理学会 2024年次大会, 17 Sep. 2024
20240916, 20240919 - 複雑ネットワークとゲル科学
水高将吾
サイクルランクの科学プレワークショップ, 27 Jun. 2024
20240627 - Analysis of distortions in voter dynamics by adversarial attacks
Shogo Mizutaka
NetSci2024, 19 Jun. 2024
20240616, 20240621 - Correlated structure in projection of bipartite networks
Shogo Mizutaka
Roles of Heterogeneity in Nonequilibrium Collective Dynamics 2022, [Invited]
20220916, 20220917 - Fertility and survivorship in Jomon and Yayoi populations
Yuriko Igarashi; Kunio Shimizu; Shogo Mizutaka
American Association of Physical Anthropologists 89th Annual Meeting
20200415, 20200418 - 複雑ネットワークの構造的性質〜次数相関、フラクタル性とその連関〜
水高将吾
量子・古典における複雑系の物理と普遍性, [Invited]
20200217 - Long-range degree correlations of fractal clusters in random networks
Shogo Mizutaka; Takehisa Hasegawa
The 8th International Conference on Complex Networks and their Application
20191210, 20191212 - Intrinsic long-range degree correlation of random nwtwroks near criticality
Shogo Mizutaka
Roles of Heterogeneity in Non-equilibrium collective dynamics, [Invited]
20190715, 20190717 - Degree correlations of percolating clusters in random networks
Shogo Mizutaka; Takehisa Hasegawa
StatPhys27
20190706, 20190710 - Negative degree correlations of percolating clusters in random networks
Shogo Mizutaka; Takehisa Hasegawa
Critical and collective effects in graphs and networks 2019
20190506, 20190510 - Degree correlations of percolating clusters in uncorrelated random networks
Shogo Mizutaka
The 4th Workshop on Self-Organization and Robustness of Evolving Many-Body Systems, [Invited]
20190319 - Fractal network formation based on self-organized critical dynamics
Shogo Mizuaka
Workshop on dynamical processes on networks, [Invited]
20180718 - Fractal networks formed by self-organized critical dynamics and its universality class
Shogo Mizutaka
NetSci2018
20180613, 20180615 - Degree correlations in scale-free fractal networks
Yuka Fujiki; Shogo Mizutaka; Kosuke Yakubo
The 2nd Workshop on Self-Organization and Robustness of Evolving Many-Body Systems
20170908, 20170909 - Fractality of Complex Networks Emerging from Self-Organaized Critical Dynamics
Kosuke Yakubo; Akitomo Watanabe; Shogo Mizutaka
International Conference on statistical Physics (SigmaPhi2017)
20170714, 20170717 - Disassortative degree mixing and fractality of scale-free networks
Yuka Fujiki; Shogo Mizutaka; Kosuke Yakubo
International Conference on statistical Physics (SigmaPhi2017)
20170710, 20170714 - Cascading Failures by Fluctuating Loads in Scale-Free Networks
Kosuke Yakubo; Shogo Mizutaka
NetSci2016
20160530, 20160603 - Exact Calculation of Robustness Properties of Correlated Bimodal Networks
Toshihiro Tanizawa; Shogo Mizutaka
NetSci2016
20160530, 20160603 - 負荷揺らぎに起因したカスケード故障の定式化とネットワークの頑強性
水高将吾
複雑ネットワーク・サマースクール2014, [Invited]
20140818, 20140821 - Overload Network Failures: An Approach from the Random-Walk Model
Shogo Mizutaka; Kosuke Yakubo
SITIS 2013
20131202, 20131205 - Network robustness to overload failures
Shogo Mizutaka; Kosuke Yakubo
International Workshop on Phase Transition, Critical Phenomena and Related Topics in Complex Networks
20130909, 20130911 - Percolation on Scale-free Networks by Overload Failures
Shogo Mizutaka; Kosuke Yakubo
StatPhys 25
20130722, 20130726
Courses
- 2025 - Present
茨城大学大学院理工学研究科 - Algorithms and Data structures
2025 - Present
Ibaraki University - 2024 - Present
茨城大学工学部 - 2024 - Present
茨城大学工学部 - 2024 - Present
茨城大学工学部 - 2024 - Present
茨城大学工学部 - 2023 - Present
茨城大学工学部 - 2023 - Present
茨城大学工学部 - 2023 - Present
茨城大学工学部 - 2023 - Present
茨城大学大学院理工学研究科 - 2023 - Present
茨城大学大学院理工学研究科 - 2023 - Present
茨城大学大学院理工学研究科 - 2023
茨城大学工学部 - 2020 - 2022
北陸先端科学技術大学院大学 - 2018 - 2019
茨城大学理学部 - 2018 - 2019
茨城大学理学部
Research Themes
- ゲルを説明可能な開放系複雑ネットワーク科学の創出
Oct. 2024 - Mar. 2030 - Relation between fractality and degree correlation in complex networks
Grant-in-Aid for Early-Career Scientists
Japan Advanced Institute of Science and Technology
01 Apr. 2021 - 31 Mar. 2024 - ネットワーク科学研究会
2023 - 自己組織化臨界ネットワークの数理構造解明とその応用
Grant-in-Aid for JSPS Fellows
Ibaraki University
25 Apr. 2018 - 31 Mar. 2021 - Evaluating and enhancing the robustness of artificial systems based on complex network theory
Grant-in-Aid for Scientific Research (C)
Ibaraki University
Jul. 2018 - Mar. 2021 - 次数相関を有するネットワークの頑健性とその最適構造の解明
Grant-in-Aid for Early-Career Scientists
Ibaraki University
01 Apr. 2018 - 31 Mar. 2020 - ネットワーク科学セミナー
2018 - ネットワーク科学セミナー
2017 - 過負荷故障カスケードに対する複雑ネットワークの頑強性
Grant-in-Aid for JSPS Fellows
Hokkaido University
25 Apr. 2014 - 31 Mar. 2016
Academic Contribution Activities
