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Algorithms and models for the web graph : 18th International Workshop, WAW 2023, Toronto, ON, Canada, May 23-26, 2023, proceedings /

This book constitutes the proceedings of the 18th International Workshop on Algorithms and Models for the Web Graph, WAW 2023, held in Toronto, Canada, in May 23-26, 2023. The 12 Papers presented in this volume were carefully reviewed and selected from 21 submissions. The aim of the workshop was und...

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Bibliographic Details
Corporate Authors: WAW (Workshop) Toronto, Ontario).
Group Author: Dewar, Megan (Editor); Prałat, Paweł (Editor); Szufel, Przemysław (Editor); Théberge, François (Editor); Wrzosek, Małgorzata (Editor)
Published: Springer,
Publisher Address: Cham, Switzerland :
Publication Dates: [2023]
Literature type: Book
Language: English
Series: Lecture notes in computer science ; 13894. 1611-3349
Subjects:
Computer algorithms > Congresses.
Data mining > Congresses.
World Wide Web > Congresses.
Algorithmes > Congrès.
Exploration de données (Informatique) > Congrès.
Web > Congrès.
Computer algorithms.
Data mining.
World Wide Web.
proceedings (reports)
Conference papers and proceedings.
Actes de congrès.
Summary: This book constitutes the proceedings of the 18th International Workshop on Algorithms and Models for the Web Graph, WAW 2023, held in Toronto, Canada, in May 23-26, 2023. The 12 Papers presented in this volume were carefully reviewed and selected from 21 submissions. The aim of the workshop was understanding of graphs that arise from the Web and various user activities on the Web, and stimulate the development of high-performance algorithms and applications that exploit these graphs.
Item Description: International conference proceedings.
Carrier Form: x, 193 pages : illustrations, forms ; 24 cm.
Bibliography: Includes bibliographical references and author index.
ISBN: 9783031322952
3031322959
9783031322969
3031322967
Index Number: QA76
CLC: TP393.092-532
TP301.6-532
Call Number: TP301.6-532/W926-7/2023
Contents: Correcting for Granularity Bias in Modularity-Based Community Detection Methods -- The emergence of a giant component in one-dimensional inhomogeneous networks with long-range effects -- Unsupervised Framework for Evaluating Structural Node Embeddings of Graphs -- Modularity Based Community Detection in Hypergraphs -- Establishing Herd Immunity is Hard Even in Simple Geometric Networks -- Multilayer hypergraph clustering using the aggregate similarity matrix -- The Myth of the Robust-Yet-Fragile Nature of Scale-Free Networks: An Empirical Analysis -- A Random Graph Model for Clustering Graphs -- Topological Analysis of Temporal Hypergraphs -- PageRank Nibble on the sparse directed stochastic block model -- A simple model of influence -- The Iterated Local Transitivity Model for Tournaments.

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