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Mao Nishiguchi
Mao Nishiguchi
Verified email at g.ecc.u-tokyo.ac.jp
Title
Cited by
Cited by
Year
Impact of correcting misinformation on social disruption
R Iizuka, F Toriumi, M Nishiguchi, M Takano, M Yoshida
PloS one 17 (4), e0265734, 2022
172022
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
172020
Classification model using contrast patterns
H Morita, M Nishiguchi
International Conference on Enterprise Information Systems 2, 334-339, 2013
62013
Corrective information does not necessarily curb social disruption
R Iizuka, F Toriumi, M Nishiguchi, M Takano, M Yoshida
arXiv preprint arXiv:2101.09665, 2021
52021
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
42022
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
42018
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
32019
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
32016
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
32012
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
22020
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
22020
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
12022
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
12022
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
12020
Readable contrast mining method for heterogeneous bipartite networks with class label
M Nishiguchi, H Morita, Y Shirai, Y Goto
12020
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
12020
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
12019
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
12019
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
12014
A classification model using both frequent patterns and sequential patterns
M Hiroyuki
電気学会研究会資料. IS, 情報システム研究会 2012 (56), 17-21, 2012
12012
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