Refereed Journal Papers

• Masahito Kumano, Masaki Saito, and Masahiro Kimura: Analysis of centrality metrics for geographical road networks under topological representation, Transactions of the Japanese Society for Artificial Intelligence, Vol.40, No.1, pp.A-O62_1-11, 2025, in Japanese.

• 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.

• 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.

• 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.

• 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.

• 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.

• Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: Accurate and efficient detection of critical links in network to minimize information loss, Journal of Intelligent Information Systems, Vol.51, No.2, pp.235-255, 2018.

• Yuuki Kikuchi, Masahito Kumano, and Masahiro Kimura: Extracting active co-occurrence patterns of cooking ingredient usage in recipe sharing sites, IPSJ Transactions on Mathematical Modeling and its Applications, Vol.11, No.2, pp.30-40, 2018, in Japanese.

• Kanji Matsutani, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: Extracting cooperative structure among online items from share-event sequence, Transactions of the Japanese Society for Artificial Intelligence, Vol.33, No.3, p.A-HA1_1-12, 2018, in Japanese.

• Masahito Kumano, Kazuya Hashimoto, and Masahiro Kimura: Digest visualization of photo spots in terms of seasonal uniqueness, Journal of the Society for Art and Science, Vol.17, No.1, pp.8-25, 2018, in Japanese.

• Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: Which is more influential, "who" or "when" for a user to rate in online review site?, Intelligent Data Analysis, Vol.22, No.3, pp.639-657, 2018.

• Kanji Matsutani and Masahiro Kimura: Learning attention dynamics for items in social media, IPSJ Transactions on Mathematical Modeling and its Applications, Vol.10, No.2, pp.14-24, 2017, in Japanese

• Hiroki Takahashi and Masahiro Kimura: Analyzing time-decay effects of mediating-objects in creating trust-links, In A. Appice et al. (Eds.), New Frontiers in Mining Complex Patterns, 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Revised Selected Papers, Lecture Notes in Artificial Intelligence, Vol.10312, pp.99-114, Springer, 2017.

• Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: Speeding-up node influence computation for huge social networks, International Journal of Data Science and Analytics, Vol.1, pp.3-16, 2016.

• Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda: Super mediator - A new centrality measure of node importance for information diffusion over social network, Information Sciences, Vol.329, pp.985-1000, 2016.

• Keito Hatta, Masahito Kumano, Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: Analysis of mediator-activity effects for trust-network evolution in social media, IPSJ Transactions on Mathematical Modeling and its Applications, Vol.8, No.2, pp.44-56, 2015, in Japanese.

• Keiko Ono, Masahito Kumano, and Masahiro Kimura: Genetic programming for cooperative single-objective optimization, Transactions on ISCIE, Vol.28, No.5, pp.173-180, 2015, in Japanese.

• Kazumi Saito, Kouzou Ohara, Masahiro Kimura, and Hiroshi Motoda: Change Point Detection for Burst Analysis from an Observed Information Diffusion Sequence of Tweets, Journal of Intelligent Information Systems, Vol.44, No.2, pp.243-269, 2015.

• Masahito Kumano, Satoshi Iwabuchi, Motonori Koseki, Keiko Ono, and Masahiro Kimura: Visualization of attractive periods for popular photo spots based on collective wisdom, Journal of the Society for Art and Science, Vol.13, No.4, pp.218-228, 2014, in Japanese.

• Masahito Kumano, Takayuki Kamei, Keiko Ono, and Masahiro Kimura: Modeling user behaviors for social ties and activities in social media, Transactions of Institute of Electronics Information and Communication Engineers, Vol.J97-D, No.2, pp.247-259, 2014, in Japanese.

• Masahiro Kimura, Kazumi Saito, Kouzou Ohara, and Hiroshi Motoda: Learning to predict opinion share and detect anti-majority opinionists in social networks, Journal of Intelligent Information Systems, Vol.41, No.1, pp.5-37, 2013.

• Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda: Detecting changes in information diffusion pattern over social network, ACM Transactions on Intelligent Systems and Technology, Vol.4, No.3, Article 55 (23 pages), 2013.

• Kazumi Saito, Masahiro Kimura, Kouzou Ohara, and Hiroshi Motoda: Learning asynchronous-time information diffusion models and its application to behavioral data analysis over social networks, Journal of Computer Engineering and Informatics, Vol.1, No.2, pp.30-57, 2013.

• Keiko Ono, Yoshiko Hanada, Masahito Kumano, and Masahiro Kimura: Genetic programming for lighting control using frequent trees and depth information, IEEJ Transactions on Electronics, Information and Systems, Vol.133, No.11, pp.2044-2052, 2013, in Japanese.

• Masahito Kumano, Motonori Koseki, Keiko Ono and Masahiro Kimura: Extracting hot photo-spots from geotagged photographs with timestamps, IPSJ Transactions on Mathematical Modeling and its Applications, Vol.5, No.3, pp.41-53, 2012, in Japanese.

• Kouzou Ohara, Kazumi Saito, Masahiro Kimura, and Hiroshi Motoda: Burst detection in a sequence of tweets based on information diffusion model, DBSJ Journal, Vol.11, No.2, pp.25-30, 2012, in Japanese.

• Kazumi Saito, Masahiro Kimura, Kouzou Ohara and Hiroshi Motoda: Efficient discovery of influential nodes for SIS models in social networks, Knowledge and Information Systems, Vol.30, No.3, pp.613-635, 2012.

• Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda: Learning information diffusion model in a social network for predicting influence of nodes, Intelligent Data Analysis, Vol. 15, No. 4, pp.633-652, 2011.

• Yuya Yoshikawa, Kazumi Saito, Hiroshi Motoda, Kouzou Ohara and Masahiro Kimura: Estimating method of expected influence curve from single diffusion sequence on social networks, Transactions of Institute of Electronics Information and Communication Engineers, Vol.J94-D, No.11, pp.1899-1908, 2011, in Japanese.

• Masahiro Kimura, Kazumi Saito, Ryohei Nakano and Hiroshi Motoda: Extracting influential nodes on a social network for information diffusion, Data Mining and Knowledge Discovery, Vol.20, No.1, pp.70-97, 2010.

• Masahiro Kimura, Kazumi Saito, Ryohei Nakano and Hiroshi Motoda: Learning information diffusion model for extracting influential nodes in a social network, Transactions of the Japanese Society for Artificial Intelligence, Vol.25, No.1, pp.215-223, 2010, in Japanese.

• Masahiro Kimura, Kazumi Saito and Hiroshi Motoda: Blocking links to minimize contamination spread in a social network, ACM Transactions on Knowledge Discovery from Data, Vol.3, No.2, Article 9 (23 pages), 2009.

• Masahiro Kimura and Kazumi Saito: Extracting major latent topics in document streams using PMM-PCA, Transactions of Japan Society for Industrial and Applied Mathematics, Vol.18, No.3, pp.363-388, 2008, in Japanese.

• Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao: Compilation to visualize the dynami clusters by the adapted self-organizing network, Transactions of the Japanese Society for Artificial Intelligence, Vol.23, No.5, pp.319-329, 2008, in Japanese.

• Masahiro Kimura, Kazumi Saito and Ryohei Nakano: Efficient finding of influential nodes from a social network for information diffusion, Transactions of Institute of Electronics Information and Communication Engineers, Vol.J91-D, No.4, pp.1004-1015, 2008, in Japanese.

• Ken-ichi Fukui, Kazumi Saito, Masahiro Kimura and Masayuki Numao: Evaluation of vector representable topics that were extracted automatically, IPSJ Transactions on Mathematical Modeling and its Applications, Vol.48, No.SIG6(TOM17), pp.1-11, 2007, in Japanese.

• Kazuhiro Kazama, Shin-ya Sato, Kazumi Saito and Masahiro Kimura: Analyzing SEO communities using trackback networks, IPSJ Journal, Vol.47, No.3, pp.840-849, 2006, in Japanese.

• Masahiro Kimura, Kazumi Saito and Naonori Ueda: Modeling share dynamics by extracting competition structure, Physica D, Vol.198, Issues 1-2, pp.57-73, 2004.

• Masairo Kimura, Kazumi Saito and Naonori Ueda: Modeling of growing networks with directional attachment and communities, Neural Networks, Vol.17, No.7, pp.975-988, 2004.

• Masahiro Kimura, Kazumi Saito and Naonori Ueda: Modeling network growth with directional attachment and communities, Systems and Computers in Japan, Vol.35, No.8, pp.1-11, 2004.

• Masahiro Kimura, Kazumi Saito and Naonori Ueda: Modeling network growth with directional attachment and communities, Transactions of Institute of Electronics Information and Communication Engineers, Vol.J86-D-II, No.10, pp.1468-1479, 2003, in Japanese.

• Masahiro Kimura: On unique representations of certain dynamical systems produced by continuous-time recurrent neural networks, Neural Computation, Vol.14, No.12, pp.2981-2996, 2002.

• Masahiro Kimura and Ryohei Nakano: Dynamical systems produced by recurrent neural networks, Systems ans Computers in Japan, Vol.31, No.4, pp.77-86, 2000.

• Masahiro Kimura and Ryohei Nakano: A unique representation of affine neural dynamical systems, Transactions of Japan Society for Industrial and Applied Mathematics, Vol.9, No.2, pp.37-50, 1999, in Japanese.

• Masahiro Kimura and Ryohei Nakano: Dynamical systems produced by recurrent neural networks, Transactions of Institute of Electronics, Information and Communication Engineers, Vol.J82-D-II, No.4, pp.818-828, 1999, in Japanese.

• Masahiro Kimura and Ryohei Nakano: Learning dynamical systems by recurrent neural networks from orbits, Neural Networks, Vol.11, No.9, pp.1589-1599, 1998.

• Masahiro Kimura, Takafumi Saito and Mikio Shinya: Surface deformation with differential geometric structures, Computer Aided Geomeric Design, Vol.13, No.3, pp.243-256, 1996.

• Masahiro Kimura: Homogeneous Einstein metrics on certain Kaehler C-spaces, Advanced Studies in Pure Mathematics, Vol.18-I, pp.303-320, 1990.

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