| Impact of correcting misinformation on social disruption R Iizuka, F Toriumi, M Nishiguchi, M Takano, M Yoshida PloS one 17 (4), e0265734, 2022 | 22 | 2022 |
| Gcnext: graph convolutional network with expanded balance theory for fraudulent user detection W Kudo, M Nishiguchi, F Toriumi Social Network Analysis and Mining 10 (1), 85, 2020 | 19 | 2020 |
| Classification model using contrast patterns H Morita, M Nishiguchi International Conference on Enterprise Information Systems 2, 334-339, 2013 | 6 | 2013 |
| Multiple role discovery in complex networks S Liu, F Toriumi, M Nishiguchi, S Usui Complex Networks & Their Applications X: Volume 2, Proceedings of the Tenth …, 2022 | 5 | 2022 |
| Corrective information does not necessarily curb social disruption R Iizuka, F Toriumi, M Nishiguchi, M Takano, M Yoshida arXiv preprint arXiv:2101.09665, 2021 | 5 | 2021 |
| What influences people to broaden their horizons? K Kakiuchi, M Nishiguchi, F Toriumi, M Takano, K Wada, I Fukuda 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 89-95, 2018 | 4 | 2018 |
| Fraudulent user detection on rating networks based on expanded balance theory and GCNs W Kudo, M Nishiguchi, F Toriumi Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 3 | 2019 |
| CAECP and CRPD: Classification by aggregating essential contrast patterns, and contrast ranked path diagrams M Nishiguchi, H Morita Journal of Information & Knowledge Management 15 (04), 1650045, 2016 | 3 | 2016 |
| ブランドの価格属性を考慮したシークエンシャルパタンによるブランドスイッチ予測 西口真央， 森田裕之 オペレーションズ・リサーチ= Communications of the Operations Research Society of …, 2012 | 3 | 2012 |
| Framework for role discovery using transfer learning S Kikuta, F Toriumi, M Nishiguchi, S Liu, T Fukuma, T Nishida, S Usui Applied Network Science 5, 1-19, 2020 | 2 | 2020 |
| Domain-invariant latent representation discovers roles S Kikuta, F Toriumi, M Nishiguchi, T Fukuma, T Nishida, S Usui Complex Networks and Their Applications VIII: Volume 1 Proceedings of the …, 2020 | 2 | 2020 |
| Basketball Scouting Framework Considering Interaction among Players H Tashiro, M Nishiguchi, T Shimano, K Morikawa, R Nagano, F Toriumi International Journal of Knowledge Engineering, 36-42, 2023 | 1 | 2023 |
| SignedS2V: Structural Embedding Method for Signed Networks S Liu, F Toriumi, X Zeng, M Nishiguchi, K Nakai International Conference on Complex Networks and Their Applications, 337-349, 2022 | 1 | 2022 |
| A flexible framework for multiple-role discovery in real networks S Liu, F Toriumi, M Nishiguchi, S Usui Applied Network Science 7 (1), 67, 2022 | 1 | 2022 |
| メタデータを利用したソーシャルメディア内グループのネットリスク検知 西口真央， 鳥海不二夫， 高野雅典 情報処理学会論文誌 61 (10), 1639-1646, 2020 | 1 | 2020 |
| Readable contrast mining method for heterogeneous bipartite networks with class label M Nishiguchi, H Morita, Y Shirai, Y Goto | 1 | 2020 |
| Detection of High Online-Risk Groups on Social Media Using Action Log MAO NISHIGUCHI, F TORIUMI, M TAKANO 情報処理学会論文誌ジャーナル (Web) 61 (10), 1639-1646, 2020 | 1 | 2020 |
| 多様なソーシャルネットワーク構造を用いた cyber-predator 予測分析 西口真央， 鳥海不二夫 人工知能学会全国大会論文集 第 33 回 (2019), 1I2J502-1I2J502, 2019 | 1 | 2019 |
| 構造に基づくリンクの役割発見 菊田俊平， 鳥海不二夫， 西口真央 人工知能学会全国大会論文集 第 33 回 (2019), 1J4J302-1J4J302, 2019 | 1 | 2019 |
| 系列混在データに対するパターンを利用した分類モデルの構築 西口真央 大阪府立大学經濟研究 60 (1・2), 17-35, 2014 | 1 | 2014 |
Fujio ToriumiThe University of TokyoVerified email at sys.t.u-tokyo.ac.jp
