The blockchain trilemma described by a formula T Nakai, A Sakurai, S Hironaka, K Shudo 2023 IEEE International Conference on Blockchain (Blockchain), 41-46, 2023 | 10 | 2023 |
A Formulation of the Trilemma in Proof of Work Blockchain T Nakai, A Sakurai, S Hironaka, K Shudo IEEE Access, 2024 | 8 | 2024 |
日本における居住地推定に利用するためのフォロー関係の調査 廣中詩織, 吉田光男, 岡部正幸, 梅村恭司 人工知能学会論文誌 32 (1), WII-M_1-11, 2017 | 8 | 2017 |
Cross-country analysis of user profiles for graph-based location estimation S Hironaka, M Yoshida, K Umemura IEEE Access 9, 168831-168839, 2021 | 5 | 2021 |
Analysis of home location estimation with iteration on Twitter following relationship S Hironaka, M Yoshida, K Umemura 2016 International Conference On Advanced Informatics: Concepts, Theory And …, 2016 | 4 | 2016 |
Follower–followee ratio category and user vector for analyzing following behavior H Oshimo, S Hironaka, M Yoshida, K Umemura 2022 9th International Conference on Advanced Informatics: Concepts, Theory …, 2022 | 3 | 2022 |
Comparison of Indicators of Location Homophily Using Twitter Follow Graph S Hironaka, M Yoshida, K Umemura 2021 8th International Conference on Advanced Informatics: Concepts, Theory …, 2021 | 3 | 2021 |
User’s centrality analysis for home location estimation S Hironaka, M Yoshida, K Umemura IEEE/WIC/ACM International Conference on Web Intelligence-Companion Volume …, 2019 | 3 | 2019 |
Quantitative Analysis of the Reward Rate Disparity Among Delegators in a DPoS Blockchain H Tanaka, S Hironaka, K Shudo 2024 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2024 | 2 | 2024 |
ソーシャルグラフによる居住地推定のためのユーザプロフィール分析 廣中詩織, 吉田光男, 梅村恭司 人工知能学会論文誌 35 (1), E-J71_1-10, 2020 | 2 | 2020 |
Temporal Analysis of Online Social Graph by Home Location 吉田光男 Proceedings of the ACM IUI 2018 Workshop on Web Intelligence and Interaction 11, 2018 | 1 | 2018 |
N 次創作動画におけるクリエータのコラボレーションに関する分析 廣中詩織, 佃洸摂, 濱崎雅弘, 後藤真孝 Web インテリジェンスとインタラクション研究会 予稿集 第 11 回研究会, 17-22, 2017 | 1 | 2017 |
Estimation of Graph Features Based on Random Walks Using Neighbors’ Properties T Hasegawa, S Hironaka, K Shudo International Conference on Web Information Systems Engineering, 456-466, 2025 | | 2025 |
Comparing User Activity on X and Mastodon S Hironaka, M Yoshida, K Shudo 2024 IEEE International Conference on Big Data (BigData), 2967-2972, 2024 | | 2024 |
Clustering Coefficient Reflecting Pairwise Relationships within Hyperedges R Miyashita, S Hironaka, K Shudo arXiv preprint arXiv:2410.23799, 2024 | | 2024 |
ネットワーク特徴を用いたソーシャルメディアユーザの利用目的についての国際比較 (スーパーコンピュータ共同研究制度 (若手・女性研究者奨励枠) 研究報告) 廣中詩織 京都大学学術情報メディアセンター全国共同利用版広報 23 (1), 8-9, 2024 | | 2024 |
Correlation Analysis of Reward Rate in a DPoS Blockchain H Tanaka, S Hironaka, K Shudo 2024 IEEE International Conference on Blockchain (Blockchain), 470-476, 2024 | | 2024 |
DPoS ブロックチェーンにおける報酬率に関わる要素の分析 田中秀昌, 廣中詩織, 首藤一幸 研究報告インターネットと運用技術 (IOT) 2024 (18), 1-7, 2024 | | 2024 |
Composer Classification Using Maximum Probability Partitioning Based on Compression Principles A Takamoto, S Hironaka, K Umemura Transactions of the Japanese Society for Artificial Intelligence 39 (2), F-NA1, 2024 | | 2024 |
圧縮原理に基づく最大確率分割情報量を用いた作曲者分類 高本綺架, 廣中詩織, 梅村恭司 人工知能学会論文誌 39 (2), F-NA1_1-10, 2024 | | 2024 |