Didier Augusto Vega-Oliveros

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Lilian BertonUniversidade Federal de São PauloVerified email at icmc.usp.br
Liang ZhaoProfessor of Computer Science, University of Sao PauloVerified email at usp.br
Maria da Graça Campos PimentelUniversidade de São PauloVerified email at icmc.usp.br
Francisco A. RodriguesUniversidade de São PauloVerified email at icmc.usp.br
Alneu de Andrade LopesUniversity of São PauloVerified email at icmc.usp.br
Leonardo N. FerreiraUniversity of OxfordVerified email at leonardonascimento.com
Luciano da F. CostaIFSC-USPVerified email at if.sc.usp.br
Evangelos MiliosProfessor of Computer Science, Dalhousie UniversityVerified email at cs.dal.ca
Federico VazquezCONICET tenured researcher, Instituto de Cálculo, FCEyN, University of Buenos Aires, ArgentinaVerified email at pks.mpg.de
Jorge Valverde-RebazaVisibiliaVerified email at visibilia.net.br
Filippo MenczerLuddy Distinguished Professor of Informatics and Computer Science, Indiana UniversityVerified email at indiana.edu
Alessandro FlamminiIndiana University - School of Informatics and ComputingVerified email at indiana.edu
Santo FortunatoProfessor, School of Informatics and Computing, Indiana University, Bloomington, USAVerified email at indiana.edu
Filippo RadicchiAssociate Professor, Luddy School of Informatics, Computing, and Engineering, Indiana UniversityVerified email at indiana.edu
Filipi Nascimento SilvaResearch Scientist at Indiana University Network Science InstituteVerified email at iu.edu
Xiaoran YanZhejiang LabVerified email at zhejianglab.com
Ben KravitzIndiana UniversityVerified email at iu.edu
J A Mendez-BermudezBenemerita Universidad Autonoma de PueblaVerified email at ifuap.buap.mx
Rudinei GoularteAssociate Professor, Universidade de São Paulo (USP)Verified email at icmc.usp.br

Didier Augusto Vega-Oliveros

Research collaborator at the Center for Complex Networks and Systems Research at Indiana University

Verified email at indiana.edu - Homepage

complex networks machine learning information & rumor propagation process


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A multi-centrality index for graph-based keyword extraction DA Vega-Oliveros, PS Gomes, EE Milios, L Berton Information Processing & Management 56 (6), 102063, 2019	58	2019
Rumor propagation with heterogeneous transmission in social networks DA Vega-Oliveros, L Da F Costa, FA Rodrigues Journal of statistical mechanics: Theory and Experiment 2017 (2), 023401, 2017	33	2017
Influence maximization by rumor spreading on correlated networks through community identification DA Vega-Oliveros, L da Fontoura Costa, FA Rodrigues Communications in Nonlinear Science and Numerical Simulation 83, 105094, 2020	29	2020
Global fire season severity analysis and forecasting LN Ferreira, DA Vega-Oliveros, L Zhao, MF Cardoso, EEN Macau Computers & Geosciences 134, 104339, 2020	27	2020
Regular graph construction for semi-supervised learning DA Vega-Oliveros, L Berton, AM Eberle, A de Andrade Lopes, L Zhao Journal of physics: Conference series 490 (1), 012022, 2014	27	2014
A comparison of graph construction methods for semi-supervised learning L Berton, A de Andrade Lopes, DA Vega-Oliveros 2018 international joint conference on neural networks (ijcnn), 1-8, 2018	22	2018
Spatiotemporal data analysis with chronological networks LN Ferreira, DA Vega-Oliveros, M Cotacallapa, MF Cardoso, MG Quiles, ... Nature communications 11 (1), 4036, 2020	19	2020
The impact of social curiosity on information spreading on networks DA Vega-Oliveros, L Berton, F Vazquez, FA Rodrigues Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017	18	2017
" This conversation will be recorded" automatically generating interactive documents from captured media DA Vega-Oliveros, DS Martins, MGC Pimentel Proceedings of the 10th ACM symposium on Document engineering, 37-40, 2010	18	2010
An approach based on multiple text input modes for interactive digital TV applications DA Vega-Oliveros, DC Pedrosa, MGC Pimentel, RP de Mattos Fortes Proceedings of the 28th ACM International Conference on Design of …, 2010	17	2010
About interfaces between machine learning, complex networks, survivability analysis, and disaster risk reduction LBL Santos, LR Londe, TJ de Carvalho, D S Menasché, ... Towards mathematics, computers and environment: a disasters perspective, 185-215, 2019	14	2019
Detecting climate teleconnections with Granger causality FN Silva, DA Vega‐Oliveros, X Yan, A Flammini, F Menczer, F Radicchi, ... Geophysical Research Letters 48 (18), e2021GL094707, 2021	11	2021
Classifying El Niño-Southern Oscillation combining network science and machine learning MADC Santos, DA Vega-Oliveros, L Zhao, L Berton IEEE Access 8, 55711-55723, 2020	11	2020
Evaluating link prediction by diffusion processes in dynamic networks DA Vega-Oliveros, L Zhao, L Berton Scientific reports 9 (1), 10833, 2019	11	2019
Influence maximization based on the least influential spreaders DA Vega-Oliveros, L Berton, ... International Workshop on Social Influence Analysis (SocInf 2015), 2015	11	2015
Temporal network pattern identification by community modelling X Gao, Q Zheng, DA Vega-Oliveros, L Anghinoni, L Zhao Scientific Reports 10 (1), 240, 2020	10	2020
Media-oriented operators for authoring interactive multimedia documents generated from capture sessions DA Vega-Oliveros, DS Martins, MGC Pimentel Proceedings of the 2011 ACM Symposium on Applied Computing, 1267-1272, 2011	9	2011
Interactors: operators to automatically generate interactive multimedia documents from captured media DA Vega-Oliveros, DS Martins, CP Maria da Graça Anais do XVI Simpósio Brasileiro de Sistemas Multimídia e Web, 163-170, 2010	9	2010
From spatio-temporal data to chronological networks: An application to wildfire analysis DA Vega-Oliveros, M Cotacallapa, LN Ferreira, MG Quiles, L Zhao, ... Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 675-682, 2019	7	2019
The Impact of Network Sampling on Relational Classification. L Berton, DA Vega-Oliveros, JC Valverde-Rebaza, AT da Silva, ... SIMBig, 62-72, 2016	7	2016

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