木村昌弘
English
木村 昌弘
Masahiro KIMURA
Email:
kimura@rins.ryukoku.ac.jp
Tel:
077-543-7406
Fax:
077-543-7428
Address:
〒520-2194 大津市瀬田大江町横谷１−５
龍谷大学先端理工学部
最近の論文
Jose Malfeito-Ferreira, Masahito Kumano, and Masahiro Kimura:
Homophily Analysis of Higher-Order Interactions of POIs Based on People Flow Predictability from WiFi Data ,
Complex Networks and Their Applications XIII,
SCI 1188, pp.56-67, Springer, 2025.
熊野雅仁, 齊藤真希, 木村昌弘:
トポロジカル表現に基づいた地理的道路網に対するネットワーク中心性の分析,
人工知能学会論文誌,
Vol.40, No.1, pp.A-O62_1-11, 2025.
木村昌弘, 熊野雅仁:
アテンションダイナミクスに着目した地理的影響ネットワークの分析,
人工知能学会誌誌, Vol.39, No.4,
496-504, 2024.
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,
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.
出版物
Last modified on: April 7, 2025.