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MASAHIRO KIMURA, Ph. D.

Professor
Faculty of Advanced Science and Technology
Ryukoku University

Email: kimura@rins.ryukoku.ac.jp
Tel: +81 77 543 7406
Fax: +81 77 543 7428
Address: Faculty of Advanced Science and Technology, Ryukoku University, Seta, Otsu 520-2194, Japan



Recent Papers

  • Masahiro Kimura and Masahito Kumano: Analysis of Geographical Influence Networks Focused on Attention Dynamics, Journal of the Japanese Society of Artificial Intelligence, Vol.39, No.4, 496-504, 2024, in Japanese.

  • Chikashi Takai, Masahito Kumano, and Masahiro Kimura: Analyzing Temporal Influence of Burst Vertices in Growing Social Simplicial Complexes, Complex Networks and Their Applications XII, SCI 1144, pp.3-15, Springer, 2024.

  • Masaki Saito, Masahito Kumano, and Masahiro Kimura: Detecting Critical Streets in Road Networks Based on Topological Representation, Complex Networks and Their Applications XII, SCI 1144, pp.231-242, Springer, 2024.

  • Keisuke Uga, Masahito Kumano, and Masahiro Kimura: Topic-Based Analysis of Structural Transitions of Temporal Hypergraphs Derived from Recipe Sharing Sites, Complex Networks and Their Applications XII, SCI 1143, pp.171-182, Springer, 2024.

  • Koudai Fujisawa, Masahito Kumano, and Masahiro Kimura: Transition analysis of boundary-based active configurations in temporal simplicial complexes for ingredient co-occurrences in recipe streams, Applied Network Science, Vol.8, Article number: 48, 2023.

  • Koudai Fujisawa, Masahito Kumano, and Masahiro Kimura: Analyzing configuration transitions associated with higher-order link occurrences in networks of cooking ingredients, Complex Networks and Their Applications XI, SCI 1078, pp.623-635, Springer, 2023.

  • Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment, Social Network Analysis and Mining, Vol.11, No.1, Article number: 70, 2021.

  • Kazumi Saito, Takayasu Fushimi, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: Efficient computation of target-oriented link criticalness centrality in uncertain graphs, Intelligent Data Analysis, Vol.25, No.5, pp.1323-1343, 2021.

  • Masahiro Ikeda, Masahito Kumano, Joao Gama, and Masahiro Kimura: Simplicial closure in significant higher-order network among cooking ingredients, The 9th International Conference on Complex Networks and their Applications - Book of Abstracts, pp.110-112, 2021.

  • Teru Fujii, Masahito Kumano, Joao Gama, and Masahiro Kimura: Detecting geographical competitive structure for POI visit dynamics, Complex Networks and Their Applications IX, SCI 944, pp.27-38, Springer, 2021.

  • Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: Efficient computing of PageRank scores on exact expected transition matrix of large uncertain graph, Proceedings of 2020 IEEE International Conference on Big Data (BigData 2020), pp.916-923, IEEE, 2020.

  • Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: Opening and closing dynamics of competing shop groups over spatial networks, Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM 2020), pp.393-400, IEEE, 2020.

  • Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: Maximizing network coverage under the presence of time constraint by injecting most effective k-links, Proceedings of the 23rd International Conference on Discovery Science (DS 2020), LNAI 12323, pp.421-436, Springer, 2020.

  • Mario Cordeiro, Rui Portocarrero Sarmento, Pavel Brazdil, Masahiro Kimura, Joao Gama: Identifying, ranking and tracking community leaders in evolving social Nnetworks, Complex Networks and Their Applications VIII, SCI 881, pp.198-210, Springer, 2020.

  • Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: Resampling-based predictive simulation framework of stochastic diffusion model for identifying top-K influential nodes, International Journal of Data Science and Analytics, Vol.9, No.2, pp.175-195, 2020.

  • Minoru Higuchi, Kanji Matsutani, Masahito Kumano, Masahiro Kimura: Extracting influence structure in geographical attention dynamics, IEICE Transactions on Information and Systems (Japanese Edition), Vol.J102-D, No.10, pp.685-697, 2019.

  • Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: Resampling-based framework for unbiased estimator of node centrality over large complex network, Proceedings of the 22nd International Conference on Discovery Science (DS 2019), LNAI 11828, pp.428-442, Springer, 2019.

  • Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: Critical node identification based on articulation point detection for uncertain network, International Journal of Networking and Computing, Vol.9, No.2, pp.201-216, 2019.

  • Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: Efficient identification of critical links based on reachability under the presence of time constraint, Proceedings of the 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2019), LNAI 11671, pp.404-418, Springer, 2019.

  • Minoru Higuchi, Kanji Matsutani, Masahito Kumano, and Masahiro Kimura: Discovering spatio-temporal latent influence in geographical attention dynamics, Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2018), LNAI 11052, pp.517-534, Springer, 2019.

  • Keiko Ono, Yoshiko Hanada, Masahito Kumano, and Masahiro Kimura: Enhancing island model genetic programming by controlling frequent trees, Journal of Artificial Intelligence and Soft Computing Research, Vol.9, No.1, pp.51-65, 2019.


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    Last modified on: August 8, 2024.