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Regular version of the site

The 9th International Conference on Network Analysis

The 9th International Conference on Network Analysis will take place on May 18-19, 2019  in Moscow, Russia.The conference is organized by the Laboratory of Algorithms and Technologies for Networks Analysis of the Higher School of Economics, by the largest Russian web search company Yandex and by the Laboratory of Advanced Combinatorics and Network Applications of Moscow Institute of Physics and Technology.

The purpose of this conference is to bring together  scientists and engineers from industry, government, and universities to exchange knowledge and results in a broad range of topics relevant  to the theory and practice of network analysis. Topics of the Conference also include algorithms on networks, discrete optimization and applications. Contributions are also sought that address the reliability of complex networks, software, theory, methodology and applications. 

The conference follows previous conferences 2011, 2012201320142015201620172018 and will be hosted by NRU HSE and Yandex, May 18-19, in Moscow. 

The conference is connected with the following important event on the subject:

May 13-18, Moscow, 2019
Conference on graphs, networks, and their applications 

https://mipt.ru/education/chairs/dm/conferences/workshop-on-graphs-networks-and-their-applications-may-13-18-moscow-2019.php

Selected conference papers will be published in Springer series Springer Proceedings in Mathematics and Statistics (indexed in Scopus and Web of Science)

Program NET2019_Program (PDF, 242 Kb) 

 

Registration and Deadlines: registration until April 30, 2019

Notification of acceptence: ad hoc

Conference Address:  Yandex office, Lva Tolstogo Street, 16, Moscow, Russian Federation (Entrance 4, basic floor, conference hall “Moulin Rouge”)

Accommodation in Moscow

Selected conference papers will be published in Springer series Springer Proceedings in Mathematics and Statistics (indexed in Scopus and Web of Science)

Paper Submission  (until October 30th, 2019)     

 

Conference chair 

Panos M. Pardalos, University of Florida, USA and LATNA, NRU HSE

Program Committee 

 Fuad AleskerovNRU HSE

 Mikhail BatsynNRU HSE

 Fedor FominBergen University, Norway and St Petersburg department of Steklov Mathematical Institute

 Valery KalyaginNRU HSE

 Yury Kochetov, Russian Academy of Sciences, Novosibirsk

 Alexander KoldanovNRU HSE

 Valentina KuskovaNRU HSELaboratory of Applied Network Research


 Dmitriy Malyshev
NRU HSE

 Oleg Prokopyev, University of Pittsburgh, USA

 Andrey Raigorodskii, Moscow Institute of Physics and Technology, Moscow State University, Yandex 

 Nikolay Zolotykh, Lobachevsky State University, Nizhny Novgorod

 Andrey SavchenkoNRU HSE 

 
Conference Organizers

 Panos M. Pardalos, University of Florida, USA

 Andrey Raigorodski, MIPT – Yandex, Russia

 Valery Kalyagin, National Research University Higher School of Economics, Russia


Plenary and invited speakers

Vladimir Batagelj, Professor of Discrete and Computational Mathematics, Department of Mathematics, University of Ljubljana

Analysis of large networks (PDF, 92 Kb) 


Alexander Dolgui, Distinguished Professor and Head, Automation, Production and Computer Science Department, IMT Atlantique, Nante, France

Anuška Ferligoj, Professor, Faculty of Social Sciences, University of Ljubljana

The analysis of the WoS data on clustering networks (PDF, 77 Kb) 


Andrei Leonidov, Lebedev Physical Institute of the Russian Academy of Sciences

Noisy discrete choice graphical games (PDF, 62 Kb) 


Oleg Prokopyev, Professor, Department of Industrial Engineering, University of Pittsburg, USA and HSE NN

On Bilevel Extensions of Network Optimization Problems (PDF, 65 Kb) 


Maxim Zhukovskii, MIPT and Yandex

Logical limit laws for attachment models (PDF, 89 Kb) 

 

Speakers Information
Vladimir Batagelj

Professor of Discrete and Computational Mathematics, Department of Mathematics, University of Ljubljana

E-mail: vladimir.batagelj@fmf.uni-lj.si 
URL: http://vlado.fmf.uni-lj.si/vlado/vlado.htm 

Vladimir Batagelj is a mathematician, who works mainly in data analysis, discrete mathematics, combinatorial optimization and applications of IT in education. He is Professor of Discrete and Computational Mathematics at the University of Ljubljana. In 2007 his book 'Generalized blockmodeling' was awarded the Harrison White Outstanding Book Award by the Mathematical Sociology Section of American Sociological Association.



Alexandre DolguiAlexander Dolgui

Distinguished Professor and Head, Automation, Production and Computer Science Department, IMT Atlantique, Nante, France

E-mail: alexandre.dolgui@imt-atlantique.fr

URL: https://www.mines-stetienne.fr/~dolgui/

Alexander Dolgui is a Distingished Professor, Head of Department at the IMT Atlantique (former Ecole des Mines de Nantes), France. His research focuses on manufacturing line design, production planning and supply chain optimization. He is the co-author of 5 and co-editor of 17 books, he published 225 refereed journal papers, 26 editorials and 29 book chapters as well as over 400 papers in conference proceedings. He is the Editor in Chief of the International Journal of Production Research.
Mario Guarracino

Staff Researcher, ICAR-CNR, Naples, Italy

E-mail: mario.guarracino@cnr.it
URL: 
http://www.na.icar.cnr.it/~mariog/

Mario Guarracino is researcher at High Performance Computing and Networking Institute of the Italian National Research Council. He received a PhD in Mathematics defending a thesis on projection techniques for parallel sparse linear algebra and an Ms in Applied Mathematics. His objective is to study and develop novel algorithms, methods and software tools based on mathematical programming and statistical learning theory. He applies his expertise to unveil biological mechanisms, using data produced by high throughput technologies, such as Microarray, SNP-array, miRNA-array, TaqMan-array, Next-Generation Sequencers (NGS), Nuclear Magnetic Resonance (MNR), Raman and mass spectrometers. 
 Anuška Ferligoj

Professor of Statistics, Faculty of Social Sciences, University of Ljubljana

E-mail: is.jl-inu.vdf@jogilref.aksuna
URL: https://www.fdv.uni-lj.si/en/news-and-information/contacts/researchers/info/anuska-ferligoj/

Anuška Ferligoj is a mathematician, whose work in network analysis research is internationally recognized. Her interests include multivariate analysis (constrained and multicriteria clustering), social networks (measurement quality and blockmodeling), and survey methodology (reliability and validity of measurement). She is Fellow of the European Academy of Sociology. She is Professor of Multivariate statistical methods at the University of Ljubljana and head of the graduate program on Statistics at the University of Ljubljana. 
 Leonidov.jpg
Andrei Leonidov 

Chief Research Fellow, Lebedev Physical Institute of the Russian Academy of Sciences

E-mail: 
leonidovav@lebedev.ru
URL: http://www.lebedev.ru/ru/people/alphabet.html?view=person&id=1766 

Andrei Leonidov is a professor in the Department of the Theory of Physics. His research interests include high energy physics, economics, finance and complex systems.   

 
Oleg Prokopyev

Professor, Department of Industrial Engineering, University of Pittsburg, USA and HSE NN

E-mail: droleg@pitt.edu
URL: https://www.pitt.edu/~droleg/ 

Oleg A. Prokopyev is a Professor in the Department of Industrial Engineering at the University of Pittsburgh. He received his M.S. and Ph.D. degrees in Industrial and Systems Engineering from the University of Florida and B.S. and M.S. degrees in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology (Russia). His research interests lie in the areas of combinatorial optimization and stochastic programming. He is a member of INFORMS and IIE.

Maxim Zhukovskii 

Associate professor, MIPT and Yandex

E-mail: zhukmax@gmail.com
URL: https://mipt.ru/education/chairs/dm/staff/zhukovsky.php

Maxim Zhukovskii is an assosiate professor in Moscow Institute of Physics and Technology and a member of Advanced Combinatorics and Network Applications Lab. His research interests lie in the areas of discrete mathematics, combinatorics and graph theory. 




Only the papers presented at the conference will be accepted for submission to the post conference proceedings in the series Springer Proceedings in Mathematics & Statistics. All papers must be prepared by Springer rules for the SPMS: 
http://www.springer.com/series/10533

All submitted papers will pass a peer review process before publication.

 

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