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46 results on '"Szufel, Przemyslaw"'

1. Towards Graph Clustering for Distributed Computing Environments

Author

Szufel, Przemysław, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Kamiński, Bogumił, editor, Kaszyński, Daniel, editor, Kraiński, Łukasz, editor, Prałat, Paweł, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2024
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3. On Broadcasting Time in the Model of Travelling Agents

Author

Huq, Reaz, Kaminski, Bogumil, Mashatan, Atefeh, Pralat, Pawel, and Szufel, Przemyslaw

Subjects
Computer Science - Social and Information Networks, Mathematics - Combinatorics, Mathematics - Probability
Abstract

Consider the following broadcasting process run on a connected graph $G=(V,E)$. Suppose that $k \ge 2$ agents start on vertices selected from $V$ uniformly and independently at random. One of the agents has a message that she wants to communicate to the other agents. All agents perform independent random walks on $G$, with the message being passed when an agent that knows the message meets an agent that does not know the message. The broadcasting time $\xi(G,k)$ is the time it takes to spread the message to all agents. Our ultimate goal is to gain a better understanding of the broadcasting process run on real-world networks of roads of large cities that might shed some light on the behaviour of future autonomous and connected vehicles. Due to the complexity of road networks, such phenomena have to be studied using simulation in practical applications. In this paper, we study the process on the simplest scenario, i.e., the family of complete graphs, as in this case the problem is analytically tractable. We provide tight bounds for $\xi(K_n,k)$ that hold asymptotically almost surely for the whole range of the parameter $k$. These theoretical results reveal interesting relationships and, at the same time, are also helpful to understand and explain the behaviour we observe in more realistic networks.

Published
2020

4. Analyzing, Exploring, and Visualizing Complex Networks via Hypergraphs using SimpleHypergraphs.jl

Author

Antelmi, Alessia, Cordasco, Gennaro, Kamiński, Bogumił, Prałat, Paweł, Scarano, Vittorio, Spagnuolo, Carmine, and Szufel, Przemyslaw

Subjects
Computer Science - Social and Information Networks, Computer Science - Discrete Mathematics, G.2.2, G.4
Abstract

Real-world complex networks are usually being modeled as graphs. The concept of graphs assumes that the relations within the network are binary (for instance, between pairs of nodes); however, this is not always true for many real-life scenarios, such as peer-to-peer communication schemes, paper co-authorship, or social network interactions. For such scenarios, it is often the case that the underlying network is better and more naturally modeled by hypergraphs. A hypergraph is a generalization of a graph in which a single (hyper)edge can connect any number of vertices. Hypergraphs allow modelers to have a complete representation of multi-relational (many-to-many) networks; hence, they are extremely suitable for analyzing and discovering more subtle dependencies in such data structures. Working with hypergraphs requires new software libraries that make it possible to perform operations on them, from basic algorithms (such as searching or traversing the network) to computing significant hypergraph measures, to including more challenging algorithms (such as community detection). In this paper, we present a new software library, SimpleHypergraphs.jl, written in the Julia language and designed for high-performance computing on hypergraphs and propose two new algorithms for analyzing their properties: s-betweenness and modified label propagation. We also present various approaches for hypergraph visualization integrated into our tool. In order to demonstrate how to exploit the library in practice, we discuss two case studies based on the 2019 Yelp Challenge dataset and the collaboration network built upon the Game of Thrones TV series. The results are promising and they confirm the ability of hypergraphs to provide more insight than standard graph-based approaches., Comment: 32 pages, 10 figures, 7 tables, submitted to Internet Mathematics Journal

Published
2020
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5. Clustering via Hypergraph Modularity

Author

Kaminski, Bogumil, Poulin, Valerie, Pralat, Pawel, Szufel, Przemyslaw, and Theberge, Francois

Subjects
Mathematics - Combinatorics
Abstract

Despite the fact that many important problems (including clustering) can be described using hypergraphs, theoretical foundations as well as practical algorithms using hypergraphs are not well developed yet. In this paper, we propose a hypergraph modularity function that generalizes its well established and widely used graph counterpart measure of how clustered a network is. In order to define it properly, we generalize the Chung-Lu model for graphs to hypergraphs. We then provide the theoretical foundations to search for an optimal solution with respect to our hypergraph modularity function. Two simple heuristic algorithms are described and applied to a few small illustrative examples. We show that using a strict version of our proposed modularity function often leads to a solution where a smaller number of hyperedges get cut as compared to optimizing modularity of 2-section graph of a hypergraph.

Published
2018
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6. Information Diffusion in Complex Networks: A Model Based on Hypergraphs and Its Analysis

Author

Antelmi, Alessia, Cordasco, Gennaro, Spagnuolo, Carmine, Szufel, Przemysław, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamiński, Bogumił, editor, Prałat, Paweł, editor, and Szufel, Przemysław, editor

Published
2020
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9. SimpleHypergraphs.jl—Novel Software Framework for Modelling and Analysis of Hypergraphs

Author

Antelmi, Alessia, Cordasco, Gennaro, Kamiński, Bogumił, Prałat, Paweł, Scarano, Vittorio, Spagnuolo, Carmine, Szufel, Przemyslaw, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Avrachenkov, Konstantin, editor, Prałat, Paweł, editor, and Ye, Nan, editor

Published
2019
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10. Statistical Verification of the Multiagent Model of Volatility Clustering on Financial Markets

Author

Olczak, Tomasz, Kamiński, Bogumił, Szufel, Przemysław, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Jager, Wander, editor, Verbrugge, Rineke, editor, Flache, Andreas, editor, de Roo, Gert, editor, Hoogduin, Lex, editor, and Hemelrijk, Charlotte, editor

Published
2017
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12. ROUTE-TO-PA H2020 Project: Raising Open and User-Friendly Transparency-Enabling Technologies for Public Administrations

Author

Scarano, Vittorio, Malandrino, Delfina, Baker, Michael, Détienne, Françoise, Andriessen, Jerry, Pardijs, Mirjam, Ojo, Adegboyega, Porwol, Lukasz, Szufel, Przemyslaw, Kamiński, Bogumil, Meijer, Albert, Ruijer, Erna, Forrester, John, Clementino, Giuseppe, Trochidis, Ilias, Banos, Vangelis, Andriessen, Martin, van de Klashorst, Jan Pieter, Riordan, Pauline, Farrell, Ronan, Boscolo, Paolo, Palmisano, Elena, van der Waal, Sander, Gray, Jonathan, Satta, Matteo, Legale, Eric, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kara, Orhun, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Katsikas, Sokratis K., editor, and Sideridis, Alexander B., editor

Published
2015
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15. Multiagent Routing Simulation with Partial Smart Vehicles Penetration

Author

Kaminski, Bogumil, Krainski, Lukasz, Mashatan, Atefeh, Pralat, Pawel, and Szufel, Przemyslaw

Subjects
Market trend/market analysis, Social networks -- Forecasts and trends, Local transit -- Forecasts and trends
Abstract

The invention and implementation of smart connected cars will change the way how the transportation networks in cities around the world operate. This technological shift will not happen instantaneously--for many years, both human-driven and smart connected vehicles will coexist. In this paper, using a multiagent simulation framework, we model a complex urban transportation system that involves heterogeneous participants. Vehicles are assigned into two groups: the first one consists of smart cars and the second one involves regular ones. Vehicles in the former group are capable of rerouting in response to changes in the observed traffic while regular ones rely on historical information only. The goal of the paper is to analyze the effect of changing smart cars penetration on system characteristics, in particular, the total travelling time. The smart car routing algorithm proposed in this paper reduced travelling time up to 30%. Analysis has shown that the behaviour of the system and optimal configuration of underlying algorithms change dynamically with smart vehicles penetration level., 1. Introduction Due to an increasing number of traffic participants, especially in urban areas, the current transportation infrastructure becomes insufficient. Big cities suffer great economic losses and resident dissatisfaction from [...]

Published
2020
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16. Multidimensional Risk Management for Underground Electricity Networks

Author

Garcez Thalles V. and Szufel Przemyslaw

Subjects
cascade failure, network decision making, underground electricity grids, History of scholarship and learning. The humanities, AZ20-999
Abstract

In the paper we consider an electricity provider company that makes decision on allocating resources on electric network maintenance. The investments decrease malfunction rate of network nodes. An accidental event (explosion, fire, etc.) or a malfunctioning on underground system can have various consequences and in different perspectives, such as deaths and injuries of pedestrians, fires in nearby locations, disturbances in the flow of vehicular traffic, loss to the company image, operating and financial losses, etc. For this reason it is necessary to apply an approach of the risk management that considers the multidimensional view of the consequences. Furthermore an analysis of decision making should consider network dependencies between the nodes of the electricity distribution system. In the paper we propose the use of the simulation to assess the network effects (such as the increase of the probability of other accidental event and the occurrence of blackouts of the dependent nodes) in the multidimensional risk assessment in electricity grid. The analyzed effects include node overloading due to malfunction of adjacent nodes and blackouts that take place where there is temporarily no path in the grid between the power plant and a node. The simulation results show that network effects have crucial role for decisions in the network maintenance – outcomes of decisions to repair a particular node in the network can have significant influence on performance of other nodes. However, those dependencies are non-linear. The effects of network connectivity (number of connections between nodes) on its multidimensional performance assessment depend heavily on the overloading effect level. The simulation results do not depend on network type structure (random or small world) – however simulation outcomes for random networks have shown higher variance compared to small-world networks.

Published
2014
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18. Julia 1.0 Programming Cookbook

Author

Kaminski, Bogumil, Szufel, Przemyslaw, Kaminski, Bogumil, Kaminski, Bogumil, Szufel, Przemyslaw, and Kaminski, Bogumil

Abstract

Discover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications. Key Features Address the core problems of programming in Julia with the most popular packages for common tasks Tackle issues while working with Databases and Parallel data processing with Julia Explore advanced features such as metaprogramming, functional programming, and user defined types Book Description Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia. Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia. By the end of the book, you will have acquired the skills to work more effectively with your data What you will learn Boost your code's performance using Julia's unique features Organize data in to fundamental types of collections: arrays and dictionaries Organize data science processes within Julia and solve related problems Scale Julia computations with cloud computing Write data to I

Published
2018

20. ROUTE-TO-PA H2020 Project: Raising open and user-friendly transparency-enabling technologies for public administrations

Author

Public Management, UU LEG Research USG Public Matters Public Governance and Management, UU LEG Research USG Public Matters, Scarano, Vittorio, Malandrino, Delfina, Baker, Michael, Détienne, Françoise, Andriessen, Jerry, Pardijs, Mirjam, Ojo, Adegboyega, Porwol, Lukasz, Szufel, Przemyslaw, Kamiński, Bogumil, Meijer, Albert, Ruijer, Erna, Forrester, John, Clementino, Giuseppe, Trochidis, Ilias, Banos, Vangelis, Andriessen, Martin, van de Klashorst, Jan Pieter, Riordan, Pauline, Farrell, Ronan, Boscolo, Paolo, Palmisano, Elena, van de Rwaal, Sander, Gray, Jonathan, Satta, Matteo, Legale, Eric, Katsikas, Sokratis K., Sideridis, Alexander B., Public Management, UU LEG Research USG Public Matters Public Governance and Management, UU LEG Research USG Public Matters, Scarano, Vittorio, Malandrino, Delfina, Baker, Michael, Détienne, Françoise, Andriessen, Jerry, Pardijs, Mirjam, Ojo, Adegboyega, Porwol, Lukasz, Szufel, Przemyslaw, Kamiński, Bogumil, Meijer, Albert, Ruijer, Erna, Forrester, John, Clementino, Giuseppe, Trochidis, Ilias, Banos, Vangelis, Andriessen, Martin, van de Klashorst, Jan Pieter, Riordan, Pauline, Farrell, Ronan, Boscolo, Paolo, Palmisano, Elena, van de Rwaal, Sander, Gray, Jonathan, Satta, Matteo, Legale, Eric, Katsikas, Sokratis K., and Sideridis, Alexander B.

Published
2015

23. ROUTE-TO-PA H2020 Project: Raising Open and User-Friendly Transparency-Enabling Technologies for Public Administrations

Author

Scarano, Vittorio, Malandrino, Delfina, Baker, Michael, Détienne, Françoise, Andriessen, Jerry, Pardijs, Mirjam, Ojo, Adegboyega, Porwol, Lukasz, Szufel, Przemyslaw, Kamiński, Bogumil, Meijer, Albert, Ruijer, Erna, Forrester, John, Clementino, Giuseppe, Trochidis, Ilias, Banos, Vangelis, Andriessen, Martin, van de Klashorst, Jan Pieter, Riordan, Pauline, Farrell, Ronan, Boscolo, Paolo, Palmisano, Elena, van de Rwaal, Sander, Gray, Jonathan, Satta, Matteo, Legale, Eric, Katsikas, Sokratis K., Sideridis, Alexander B., Public Management, UU LEG Research USG Public Matters Public Governance and Management, and UU LEG Research USG Public Matters

Subjects
Process management, Short paper, Transparencyenhancing tools, Transparency, Personalization, Taverne, 050602 political science & public administration, media_common.cataloged_instance, European union, media_common, Social network, User Friendly, business.industry, 05 social sciences, Open data, Public relations, Transparency (behavior), Raising (linguistics), Horizon 2020 project, 0506 political science, 0509 other social sciences, 050904 information & library sciences, business, Computer Science(all)
Abstract

In this short paper, we introduce ROUTE-TO-PA project, funded by European Union under the Horizon 2020 program, whose aim is to improve the transparency of Public Administration, by allowing citizens to make better use of Open Data, through collaboration and personalization.

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24. Topological Analysis of Temporal Hypergraphs

Author

Myers, Audun, Joslyn, Cliff, Kay, Bill, Purvine, Emilie, Roek, Gregory, Shapiro, Madelyn, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Prałat, Paweł, editor, Szufel, Przemysław, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2023
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25. A Random Graph Model for Clustering Graphs

Author

Chung, Fan, Sieger, Nicholas, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Prałat, Paweł, editor, Szufel, Przemysław, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2023
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26. A Simple Model of Influence

Author

Cooper, Colin, Kang, Nan, Radzik, Tomasz, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Prałat, Paweł, editor, Szufel, Przemysław, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2023
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27. The Myth of the Robust-Yet-Fragile Nature of Scale-Free Networks: An Empirical Analysis

Author

Hasheminezhad, Rouzbeh, Rønberg, August Bøgh, Brandes, Ulrik, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Prałat, Paweł, editor, Szufel, Przemysław, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2023
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28. Establishing Herd Immunity is Hard Even in Simple Geometric Networks

Author

Dvořák, Michal, Knop, Dušan, Schierreich, Šimon, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Prałat, Paweł, editor, Szufel, Przemysław, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2023
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29. PageRank Nibble on the Sparse Directed Stochastic Block Model

Author

Banerjee, Sayan, Deka, Prabhanka, Olvera-Cravioto, Mariana, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Prałat, Paweł, editor, Szufel, Przemysław, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2023
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30. Multilayer Hypergraph Clustering Using the Aggregate Similarity Matrix

Author

Alaluusua, Kalle, Avrachenkov, Konstantin, Kumar, B. R. Vinay, Leskelä, Lasse, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Prałat, Paweł, editor, Szufel, Przemysław, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2023
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31. The Emergence of a Giant Component in One-Dimensional Inhomogeneous Networks with Long-Range Effects

Author

Gracar, Peter, Lüchtrath, Lukas, Mönch, Christian, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Prałat, Paweł, editor, Szufel, Przemysław, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2023
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32. Unsupervised Framework for Evaluating Structural Node Embeddings of Graphs

Author

Dehghan, Ashkan, Siuta, Kinga, Skorupka, Agata, Betlen, Andrei, Miller, David, Kamiński, Bogumił, Prałat, Paweł, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Prałat, Paweł, editor, Szufel, Przemysław, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2023
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33. Modularity Based Community Detection in Hypergraphs

Author

Kamiński, Bogumił, Misiorek, Paweł, Prałat, Paweł, Théberge, François, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Prałat, Paweł, editor, Szufel, Przemysław, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2023
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34. Correcting for Granularity Bias in Modularity-Based Community Detection Methods

Author

Gösgens, Martijn, van der Hofstad, Remco, Litvak, Nelly, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Prałat, Paweł, editor, Szufel, Przemysław, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2023
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35. The Iterated Local Transitivity Model for Tournaments

Author

Bonato, Anthony, Chaudhary, Ketan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Dewar, Megan, editor, Prałat, Paweł, editor, Szufel, Przemysław, editor, Théberge, François, editor, and Wrzosek, Małgorzata, editor

Published
2023
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36. Clustering Coefficient of a Preferred Attachment Affiliation Network

Author

Ardickas, Daumilas, Bloznelis, Mindaugas, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamiński, Bogumił, editor, Prałat, Paweł, editor, and Szufel, Przemysław, editor

Published
2020
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37. The Iterated Local Directed Transitivity Model for Social Networks

Author

Bonato, Anthony, Cranston, Daniel W., Huggan, Melissa A., Marbach, Trent, Mutharasan, Raja, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamiński, Bogumił, editor, Prałat, Paweł, editor, and Szufel, Przemysław, editor

Published
2020
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38. Assortativity and Bidegree Distributions on Bernoulli Random Graph Superpositions

Author

Bloznelis, Mindaugas, Karjalainen, Joona, Leskelä, Lasse, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamiński, Bogumił, editor, Prałat, Paweł, editor, and Szufel, Przemysław, editor

Published
2020
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39. Transience Versus Recurrence for Scale-Free Spatial Networks

Author

Gracar, Peter, Heydenreich, Markus, Mönch, Christian, Mörters, Peter, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamiński, Bogumił, editor, Prałat, Paweł, editor, and Szufel, Przemysław, editor

Published
2020
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40. A Note on the Conductance of the Binomial Random Intersection Graph

Author

Rybarczyk, Katarzyna, Bloznelis, Mindaugas, Jaworski, Jerzy, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamiński, Bogumił, editor, Prałat, Paweł, editor, and Szufel, Przemysław, editor

Published
2020
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41. Global Graph Curvature

Author

Prokhorenkova, Liudmila, Samosvat, Egor, van der Hoorn, Pim, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamiński, Bogumił, editor, Prałat, Paweł, editor, and Szufel, Przemysław, editor

Published
2020
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42. Hypergraph Analytics of Domain Name System Relationships

Author

Joslyn, Cliff A., Aksoy, Sinan, Arendt, Dustin, Firoz, Jesun, Jenkins, Louis, Praggastis, Brenda, Purvine, Emilie, Zalewski, Marcin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamiński, Bogumił, editor, Prałat, Paweł, editor, and Szufel, Przemysław, editor

Published
2020
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43. A Scalable Unsupervised Framework for Comparing Graph Embeddings

Author

Kamiński, Bogumił, Prałat, Paweł, Théberge, François, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamiński, Bogumił, editor, Prałat, Paweł, editor, and Szufel, Przemysław, editor

Published
2020
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44. Community Structures in Information Networks for a Discrete Agent Population

Author

Marbach, Peter, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamiński, Bogumił, editor, Prałat, Paweł, editor, and Szufel, Przemysław, editor

Published
2020
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45. A Robust Method for Statistical Testing of Empirical Power-Law Distributions

Author

Garbarino, Davide, Tozzo, Veronica, Vian, Andrea, Barla, Annalisa, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamiński, Bogumił, editor, Prałat, Paweł, editor, and Szufel, Przemysław, editor

Published
2020
Full Text
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46. Iterated Global Models for Complex Networks

Author

Bonato, Anthony, Meger, Erin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kamiński, Bogumił, editor, Prałat, Paweł, editor, and Szufel, Przemysław, editor

Published
2020
Full Text
View/download PDF

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