Impact of correcting misinformation on social disruption R Iizuka, F Toriumi, M Nishiguchi, M Takano, M Yoshida PloS one 17 (4), e0265734, 2022 | 18 | 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 | 17 | 2020 |
Classification model using contrast patterns H Morita, M Nishiguchi International Conference on Enterprise Information Systems 2, 334-339, 2013 | 6 | 2013 |
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 |
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 | 4 | 2022 |
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 |
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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 |
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 |
¥á¥¿¥Çþí¥¿¤òÀûÓä·¤¿¥½þí¥·¥ã¥ë¥á¥Ç¥£¥¢ÄÚ¥°¥ëþí¥×¤Î¥Í¥Ã¥È¥ê¥¹¥¯検Öª Î÷¿ÚÕæÑ룬 鳥º£²»¶þ·ò£¬ ¸ßÒ°Ñŵä Çé報処Àíѧ»á論ÎÄ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 Çé報処Àíѧ»á論ÎÄ誌¥¸¥ãþí¥Ê¥ë (Web) 61 (10), 1639-1646, 2020 | 1 | 2020 |
¶à様¤Ê¥½þí¥·¥ã¥ë¥Í¥Ã¥È¥ïþí¥¯構Ôì¤òÓ䤤¿ cyber-predator Óè測·ÖÎö Î÷¿ÚÕæÑ룬 鳥º£²»¶þ·ò È˹¤ÖªÄÜѧ»áÈ«¹ú´ó»á論Îļ¯ µÚ 33 »Ø (2019), 1I2J502-1I2J502, 2019 | 1 | 2019 |
構Ôì¤Ë»ù¤Å¤¯¥ê¥ó¥¯¤ÎÒÛ¸î発見 ¾ÕÌ£ƽ£¬ 鳥º£²»¶þ·ò£¬ Î÷¿ÚÕæÑë È˹¤ÖªÄÜѧ»áÈ«¹ú´ó»á論Îļ¯ µÚ 33 »Ø (2019), 1J4J302-1J4J302, 2019 | 1 | 2019 |
ϵÁлìÔÚ¥Çþí¥¿¤Ë対¤¹¤ë¥Ñ¥¿þí¥ó¤òÀûÓä·¤¿·Ö類¥â¥Ç¥ë¤Î構築 Î÷¿ÚÕæÑë ´óÚ渮Á¢´óѧ經濟Ñо¿ 60 (1¡¤2), 17-35, 2014 | 1 | 2014 |
A classification model using both frequent patterns and sequential patterns M Hiroyuki 電気ѧ»áÑо¿»á資ÁÏ. IS, Çé報¥·¥¹¥Æ¥àÑо¿»á 2012 (56), 17-21, 2012 | 1 | 2012 |