WAW 2024 invites original research papers and abstracts on all aspects of algorithmic and mathematical research in the areas pertaining to the graph and hypergraph theory and applications. We especially encourage submission of papers that espouse the view of complex data as networks.

https://math.torontomu.ca/waw2024/cfp.html

Submission Guidelines

The papers must be formatted according to Springer LNCS style. The maximum length of papers is at most 15 pages but shorter papers are welcome. Acceptance of papers will be based on the reviews provided by the program committee members.

Abstracts are a maximum of one page, may be in any style, and must be pdf files. They should include the title, speakers, and a summary of research. All abstracts related to the conference areas will be evaluated by the program committee.

Papers must be submitted via Easy Chair. Abstracts should be sent via email (as attachment, PDF file) to lkrain@sgh.waw.pl. (Confirmation will be sent via e-mail; please do not submit abstracts via Easy Chair.)

List of Topics

• Algorithms: graph and hypergraph algorithms, clustering, collaborative filtering, routing optimization.
• Analysis: structural properties, visualization, patterns, communities, discovery, flow simulation.
• Data Models: graph and hypergraph models, evolution, trust and reputation networks.
• Topics: Web, social networks, transportation networks, economic interactions, communication networks, recommender networks, citation networks, Wikipedia, biological networks, blogs, p2p.
• Applications: web mining, social and business applications, routing & transportation, web search and ranking.
• Theory: properties of random graphs models that are used to model complex networks, higher-order structures, network geometry, temporal networks and dynamics, dynamic processes such as polarization, social learning, contagions.

Committees

Program Committee

• Konstantin Avrachenkov, INRIA
• Leman Akoglu, Carnegie Mellon Univeristy
• Mindaugas Bloznelis, Vilnius University
• Paolo Boldi, University of Milano
• Anthony Bonato, Toronto Metropolitan University
• Ulrik Brandes, ETH Zürich
• Fan Chung Graham, UC San Diego
• Collin Cooper, King's College London
• Megan Dewar, Tutte Institute for Mathematics and Computing
• Andrzej Dudek, Western Michigan University
• Alan Frieze, Carnegie Mellon University
• Jeannette Janssen, Dalhousie University
• Cliff Joslyn, Pacific Northwest National Laboratory
• Bogumil Kaminski, SGH Warsaw School of Economics
• Julia Komjathy, Delft University of Technology 
• Ravi Kumar, Google
• Nicolas Landry, University of Vermont
• Marc Lelarge, INRIA
• Lasse Leskela, Aalto University
• Nelly Litvak, University of Twente
• Oliver Mason, NUI Maynooth
• Pawel Misiorek, Poznan University of Technology
• Dieter Mitsche, Universitat Politecnica de Catalunya
• Peter Morters, University of Cologne
• Tobias Mueller, Groningen University
• Mariana Olvera-Cravioto, University of North Carolina at Chapel Hill
• Pan Peng, University of Science and Technology of China
• Xavier Perez-Gimenez, University of Nebraska
• Pawel Pralat, Toronto Metropolitan University
• Katarzyna Rybarczyk, Adam Mickiewicz University, Poznan
• Przemyslaw Szufel, SGH Warsaw School of Economics
• Francois Theberge, Tutte Institute for Mathematics and Computing
• Remco van der Hofstad, Eindhoven University of Technology
• Yana Volkovich, Microsoft
• Stephen Young, Pacific Northwest National Laboratory
• Yue Zhao, University of Southern California

Organizing committee

• Megan Dewar, Tutte Institute for Mathematics and Computing
• Bogumil Kaminski, SGH Warsaw School of Economics
• Daniel Kaszynski, SGH Warsaw School of Economics
• Lukasz Krainski, SGH Warsaw School of Economics
• Pawel Pralat, Toronto Metropolitan University
• Francois Theberge, Tutte Institute for Mathematics and Computing
• Malgorzata Wrzosek, SGH Warsaw School of Economics

Invited Speakers

• Hocine Cherifi, University of Burgundy
• Fariba Karimi, Complexity Science Hub Vienna
• Julia Komjathy, Delft University of Technology
• Mason Porter, University of California, Los Angeles

Publication

WAW2024 proceedings will be published as a Springer LNCS volume.

Accepted abstracts will be published on the conference website (but not published in the proceedings). 

Venue

The conference will be held at the SGH Warsaw School of Economics, Building C, Warsaw, Poland.

Contact

All questions about submissions should be emailed to lkrain@sgh.waw.pl.