WAW C

13 papers

YearTitle / Authors
2023A Random Graph Model for Clustering Graphs.
Fan Chung, Nicholas Sieger
2023A Simple Model of Influence.
Colin Cooper, Nan Kang, Tomasz Radzik
2023Algorithms and Models for the Web Graph - 18th International Workshop, WAW 2023, Toronto, ON, Canada, May 23-26, 2023, Proceedings
Megan Dewar, Pawel Pralat, Przemyslaw Szufel, François Théberge, Malgorzata Wrzosek
2023Correcting for Granularity Bias in Modularity-Based Community Detection Methods.
Martijn Gösgens, Remco van der Hofstad, Nelly Litvak
2023Establishing Herd Immunity is Hard Even in Simple Geometric Networks.
Michal Dvorák, Dusan Knop, Simon Schierreich
2023Modularity Based Community Detection in Hypergraphs.
Bogumil Kaminski, Pawel Misiorek, Pawel Pralat, François Théberge
2023Multilayer Hypergraph Clustering Using the Aggregate Similarity Matrix.
Kalle Alaluusua, Konstantin Avrachenkov, B. R. Vinay Kumar, Lasse Leskelä
2023PageRank Nibble on the Sparse Directed Stochastic Block Model.
Sayan Banerjee, Prabhanka Deka, Mariana Olvera-Cravioto
2023The Emergence of a Giant Component in One-Dimensional Inhomogeneous Networks with Long-Range Effects.
Peter Gracar, Lukas Lüchtrath, Christian Mönch
2023The Iterated Local Transitivity Model for Tournaments.
Anthony Bonato, Ketan Chaudhary
2023The Myth of the Robust-Yet-Fragile Nature of Scale-Free Networks: An Empirical Analysis.
Rouzbeh Hasheminezhad, August Bøgh Rønberg, Ulrik Brandes
2023Topological Analysis of Temporal Hypergraphs.
Audun Myers, Cliff A. Joslyn, Bill Kay, Emilie Purvine, Gregory Roek, Madelyn Shapiro
2023Unsupervised Framework for Evaluating Structural Node Embeddings of Graphs.
Ashkan Dehghan, Kinga Siuta, Agata Skorupka, Andrei Betlen, David Miller, Bogumil Kaminski, Pawel Pralat