Predicting the Robustness of Large Real-World Social Networks Using a Machine Learning Model

被引：0

作者：

Nguyen, Ngoc-Kim-Khanh ^{[1
]}

Nguyen, Quang ^{[2
,3
,4
]}

Pham, Hai-Ha ^{[5
]}

Le, Thi-Trang ^{[4
]}

Nguyen, Tuan-Minh ^{[4
]}

Cassi, Davide ^{[6
,7
]}

Scotognella, Francesco ^{[8
,9
]}

Alfieri, Roberto ^{[6
,7
]}

Bellingeri, Michele ^{[6
,7
,8
]}

机构：

[1] Faculty of Basic Science, Van Lang University, Ho Chi Minh, Viet Nam

[2] Institute of Fundamental and Applied Sciences, Duy Tan University, Ho Chi Minh,700000, Viet Nam

[3] Faculty of Natural Sciences, Duy Tan University, Da Nang,550000, Viet Nam

[4] John von Neumann Institute, Vietnam National University Ho Chi Minh City, Ho Chi Minh, Viet Nam

[5] Vietnam National University, International University, Department of Mathematics, Thu Duc, Ho Chi Minh, Viet Nam

[6] Dipartimento di Scienze Matematiche, Fisiche e Informatiche, Università di Parma, Parco Area Delle Scienze 7/A 43124, Parma, Italy

[7] Infn, Gruppo Collegato di Parma, Parma,I-43124, Italy

[8] Dipartimento di Fisica, Politecnico di Milano, Piazza Leonardo da Vinci 32, Milano,20133, Italy

[9] Center for Nano Science and Technology PoliMi, Istituto Italiano di Tecnologia, Via Giovanni Pascoli 70/3, Milan,20133, Italy

来源：

Complexity | 2022年 / 2022卷

关键词：

Multiple linear regression;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 50 条

[31] Group Detection in Real-world Social Networks
Wang, Lidong
Zhang, Yun
PROCEEDINGS OF 2016 9TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2, 2016, : 264 - 267
[32] Real-world learning with Markov logic networks
Domingos, P
KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2004, PROCEEDINGS, 2004, 3202 : 17 - 17
[33] Real-world learning with Markov logic networks
Domingos, Pedro
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, 3202
[34] Real-world learning with Markov logic networks
Domingos, P
MACHINE LEARNING: ECML 2004, PROCEEDINGS, 2004, 3201 : 17 - 17
[35] Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications
Shawen, Nicholas
Lonini, Luca
Mummidisetty, Chaithanya Krishna
Shparii, Ilona
Albert, Mark V.
Kording, Konrad
Jayaraman, Arun
JMIR MHEALTH AND UHEALTH, 2017, 5 (10):
[36] Preserving Real-World Robustness of Neural Networks Under Sparsity Constraints
Gritsch, Jasmin Viktoria
Legenstein, Robert
Oezdenizci, Ozan
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, PT V, ECML PKDD 2024, 2024, 14945 : 337 - 354
[37] Application of machine learning in predicting survival outcomes involving real-world data: a scoping review
Huang, Yinan
Li, Jieni
Li, Mai
Aparasu, Rajender R.
BMC MEDICAL RESEARCH METHODOLOGY, 2023, 23 (01)
[38] Application of machine learning in predicting survival outcomes involving real-world data: a scoping review
Yinan Huang
Jieni Li
Mai Li
Rajender R. Aparasu
BMC Medical Research Methodology, 23
[39] Predicting Clinical Remission of Chronic Urticaria Using Random Survival Forests: Machine Learning Applied to Real-World Data
Irina Pivneva
Maria-Magdalena Balp
Yvonne Geissbühler
Thomas Severin
Serge Smeets
James Signorovitch
Jimmy Royer
Yawen Liang
Tom Cornwall
Jutong Pan
Andrii Danyliv
Sarah Jane McKenna
Alexander M. Marsland
Weily Soong
Dermatology and Therapy, 2022, 12 : 2747 - 2763
[40] Forecasting real-world complex networks' robustness to node attack using network structure indexes
Bellingeri, Michele
Turchetto, Massimiliano
Scotognella, Francesco
Alfieri, Roberto
Nguyen, Ngoc-Kim-Khanh
Nguyen, Quang
Cassi, Davide
FRONTIERS IN PHYSICS, 2023, 11

← 1 2 3 4 5 →