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Regular version of the site

The 8th International Conference on Network Analysis

The 8th International Conference on Network Analysis will take place on May 18-19, 2018  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 conference is sponsored by Russian Science Foundation project 14-41-00039. 

Tutorial lectures "Max-Min Fairness and its Applications" will be organized for young scientists during the Conference.

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, 20122013201420152016, 2017 and will be hosted by NRU HSE and Yandex, May 18-19, in Moscow. 

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


The conference is connected with two important events on the subject:

May 14-16,  Workshop on graphs, networks, and their applications 


May 17-18, 15th Workshop on Algorithms and Models for the Web Graph




Registration and Deadlines: registration until April 30,  2018

Notification of acceptence: ad hoc

Conference Address: Yandex office, Lva Tolstogo Street, 16, Moscow, Russian Federation

May 18: Entrance 4, ground floor, Moulin Rouge lecture room

May 19: Entrance 3, 5th floor, Blue Whale lecture room

Access to the Yandex building May 19 is restricted to visitors which are accompanied by Yandex staff.

In the case when you are late send sms (or call)  to Timur Medvedev +7-910-791-46-39.


Accommodation in Moscow

Paper Submission


Conference chair

Panos M. PardalosUniversity 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 MalyshevNRU 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 Speakers
Vladimir Boginski, Associate Professor, Industrial Engineering & Management Systems University of Central Florida
Robustness and Vulnerability of Interdependent Infrastructure Networks: Mathematical Modeling and Optimization Aspects

Ernesto Estrada, Chair of Mathematics, Chair in Complexity Sciences, Department of Mathematics and Statistics, University of Strathclyde Glasgow, U.K.
Machine Learning Analysis of Complex Networks in Hyperspherical Space

Mikhail Isaev, Lecturer, School of Mathematical Sciences, Monash University Australia and MIPT
Advances in the enumeration of regular graphs and not-so-regular graphs

Marcello Pelillo, Professor of Computer Science, Ca' Foscari University of Venice, Director of European Centre for Living Technology (ECLT), Head of the  Computer Vision and Pattern Recognition Lab DAIS
Grouping Games: Finding Clusters in Graphs, Digraphs and Hypergraphs

Martín Gómez Ravetti, Federal University of Minas Gerais, Brazil
Quantification of graph dissimilarities using Information Theory

Angelo Sifaleras, School of Information Sciences, University of Macedonia, Greece
Recent applications of Variable Neighborhood Search

Tutorial for young scientists

Theodore Trafalis, University of Oklahoma, USA
Max-Min Fairness and its Applications

Speakers Information

Vladimir Boginski

Associate Professor, Industrial Engineering & Management Systems University of Central Florida

E-mail: Vladimir.Boginski@ucf.edu

URL: http://www.iems.ucf.edu/people/vladimir-boginski

Dr. Vladimir Boginski is an Associate Professor of Industrial Engineering and Management  Systems at the University of Central Florida (Orlando, FL). He previously served as an Assistant Professor of Industrial and Systems Engineering at the University of Florida (Gainesville, FL), where he currently holds a courtesy faculty appointment. He received his PhD degree in Industrial and Systems Engineering from the University of Florida in 2005. His research interests primarily focus on using mathematical modeling and optimization techniques in the context of network science. He has co-authored over 50 publications, including over 30 refereed journal articles.

Ernesto Estrada

Chair of Mathematics, Chair in Complexity Sciences, Department of Mathematics and Statistics, University of Strathclyde Glasgow, G1 1XQ, U.K.


URL: http://www.estradalab.org 

Editor-in-Chief of the "Journal of Complex Networks", Oxford University Press  http://comnet.oxfordjournals.org/

Professor Estrada has an internationally leading reputation for shaping and developing the study of complex networks. His expertise ranges in the areas of network structure, algebraic network theory, dynamical systems on networks and the study of random models of networks. He has a distinguished track record of high-quality publications, which has attracted more than 10,500 citations. His h-index (number of papers with at least h citations) is 58. His publications are in the areas of network theory and its applications to social, ecological, engineering, physical, chemical and biological real-world problems. Professor Estrada has published two text books on network sciences both published by Oxford University Press in 2011 and 2015, respectively. He has demonstrated a continuous international leadership in his field where he has been invited and plenary speaker at the major conferences in network sciences and applied mathematics, including the SIAM Annual Meeting in 2012. He is the Editor in Chief of the Journal of Complex Networks published by Oxford University Press, and he is Member of the Academia Europaea since 2015.

Mikhail Isaev

Lecturer, School of Mathematical Sciences, Monash University Australia and MIPT. 

E-mail: Mikhail.Isaev@monash.eduisaev.m.i@gmail.com

URL: https://research.monash.edu/en/persons/mikhail-isaev

Mikhail Isaev is a lecturer at the School of Mathematical Sciences, Monash University (Australia) since August 2017. Before this appointment, he worked at the Australian National University and the University of New South Wales as a postdoctoral research fellow. Mikhail Isaev simultaneously completed two PhD programs at the Moscow Institute of Physics and Technology and at Ecole Polytechnique (France) in different areas (combinatorics and nonlinear PDEs) in 2014. His research interests include random graph theory, combinatorial enumeration and inverse problems. The publication record of Mikhail Isaev consists of 16 publications in top mathematical journals. He served as an invited reviewer for the following journals: Mathematical Methods in the Applied Sciences, Journal of Combinatorial Designs, Inverse Problems, Problems of Information Transmission, Journal of Inverse and Ill-Posed Problems. Apart from research activities, Mikhail Isaev actively participates in the outreach programs related to the mathematical olympiad movement. He trained high-school and undergraduate students in Russia, France and Australia for all sorts of mathematical competitions, including the International Mathematical Olympiad.



Marcello Pelillo

FIEEE, FIAPR, Professor of Computer Science, Ca' Foscari University of Venice

Director, European Centre for Living Technology (ECLT)

Head, Computer Vision and Pattern Recognition Lab

DAIS - Campus Scientifico

E-mail: marcello.pelillo@gmail.com

URL: http://www.dsi.unive.it/~pelillo

Marcello Pelillo is a Professor of Computer Science at the University of Venice, Italy, where he directs the European Centre for Living Technology and leads the Computer Vision and Pattern Recognition group, which he founded in 1995.
He held visiting research positions at Yale University (USA), McGill University (Canada), the University of Vienna (Austria), York University (UK), the University College London (UK), and the National ICT Australia (NICTA) (Australia).
He serves (or has served) on the editorial boards of IEEE Transactions on Pattern Analysis and Machine Intelligence, IET Computer Vision, Pattern Recognition, Brain Informatics, and is on the advisory board of the International Journal of Machine Learning and Cybernetics. He has initiated several conferences series as Program Chair (EMMCVPR, IWCV, SIMBAD) and has served as a General Chair for ICCV 2017. Prof. Pelillo has been elected a Fellow of the IEEE and a Fellow of the IAPR, and has been appointed IEEE Distinguished Lecturer (2016-2017 term). His Erdös number is 2.

Martín Gómez Ravetti

Federal University of Minas Gerais, Brazil

E-mail: gravetti.martin@gmail.com

URL: http://www.dep.ufmg.br/old/_martin.ravetti/index.html

Dr. Martín Gómez Ravetti is an Associate Professor at the Production Engineering Department at the Federal University of Minas Gerais. His research focuses on combinatorial optimization, Information Theory, and Complex Networks. Dr. Ravetti has large experience dealing with exact algorithms, heuristics, and their combination applied to logistics and production planning problems. In the Complex Networks field, Dr. Ravetti has contributed with several works using Information theory quantifiers to characterize dynamical systems. He publishes widely on leading journals in a broad range of topics including logistics, production planning, scheduling, time-series analysis, and complex networks.

Angelo Sifaleras

Assistant Professor of Mathematical Programming - Network Optimization, Department of Applied Informatics, School of Information Sciences, University of Macedonia, Greece

E-mail: sifalera@uom.gr

URL: http://users.uom.gr/~sifalera

Angelo Sifaleras is an Assistant Professor at the University of Macedonia, Department of Applied Informatics, School of Information Sciences, Greece, Thessaloniki. His research focuses on mathematical programming and network optimization. Currently, he serves as a member of the Editorial Board of the Yugoslav Journal of Operations Research (YUJOR) and he is also a senior member of ACM.


Theodore B. Trafalis, PhD, is a Professor at the School of Industrial and Systems Engineering at the University of Oklahoma, USA and adjunct professor in the School of meteorology. In 2014 was on a sabbatical visiting the school of Electrical and Computer Engineering, National Technical University of Athens, Greece. He earned his BS in mathematics from the University of Athens, Greece, his MS in Applied Mathematics, MSIE, and PhD in Operations Research from Purdue University.  He is a member of INFORMS, SIAM, International Society of Multiple Criteria Decision Making, and the International Society of Neural Networks.  He has been listed in several Who’s Who biographies such as in the 1993/1994 edition of Who’s Who in the World.  He was a visiting Assistant Professor at Purdue University (1989-1990), an invited Research Fellow at Delft University of Technology, Netherlands (1996), a visiting Associate Professor at Blaise Pascal University, France, and at the Technical University of Crete (1998).  He was also an invited visiting Associate Professor at Akita Prefectural University, Japan (2001). The academic year 2006-2007 was on a sabbatical at the National Center for Scientific Research “Demokritos”, Institute of Informatics and Telecommunications, Computational Intelligence Laboratory (CIL), Athens, Greece. In June 2011 was invited researcher at the Institute of Applied Mathematics, University of Toulouse, France. In March 2014 he was invited professor at the Department of Computing, Unitec, Auckland, New Zealand. In 2015 he was also visiting professor in LATNA, Higher School of Economics, Nizhniy Novgorod, Russia. His research interests include:  operations research/management science, mathematical programming, interior point methods, multiobjective optimization, control theory, artificial neural networks, kernel methods, evolutionary programming data mining, global optimization and weather applications.  He has published more that one hundred fifty articles in journals, conference proceedings, edited books, made over one hundred technical presentations, and received several awards for his papers.  In 2004 he received the Regents Award at the University of Oklahoma for his research activities.  He has been funded through National Science Foundation (NSF), NOAA, Office of the Army and received the NSF Research Initiation Award in 1991.  In 2006 he was the editor of a special issue in Support Vector Machines for the journal of Computational Management Science. He also co-edited a special issue in “Learning from Data” for the same journal. He has coauthored a research monograph with Springer under the title “Robust Data Mining” that was published in 2013.  Prof. Trafalis currently serves as the chief editor of Intelligent Control and Automationandan associate editor for the Journal of Heuristicsand several other journals. In addition he has been on the Program Committee of several international conferences in the field of intelligent systems, data mining and optimization. He was also co-organizer of the International Conference on the Dynamics of Disasters, Athens, Greece, 2006 and organizer of the 1st , 2nd, 3rd  and 4th International Conference in Industrial Systems and Design Engineering that were held in Athens, Greece, June 2013, 2014, 2015 and 2016 respectively.


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