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Algorithms and Models for the Web Graph : 17th International Workshop, WAW 2020, Warsaw, Poland, September 21-22, 2020, Proceedings / edited by Bogumił Kamiński, Paweł Prałat, Przemysław Szufel.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Kamiński, Bogumił, Editor.
Prałat, Paweł, Editor.
Szufel, Przemysław, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12091
Theoretical Computer Science and General Issues, 2512-2029 ; 12091
Language:
English
Subjects (All):
Computer science.
Data structures (Computer science).
Information theory.
Application software.
Computer science-Mathematics.
Discrete mathematics.
Computer networks.
Theory of Computation.
Data Structures and Information Theory.
Computer and Information Systems Applications.
Discrete Mathematics in Computer Science.
Computer Communication Networks.
Local Subjects:
Theory of Computation.
Data Structures and Information Theory.
Computer and Information Systems Applications.
Discrete Mathematics in Computer Science.
Computer Communication Networks.
Physical Description:
1 online resource (X, 173 pages) : 40 illustrations, 29 illustrations in color.
Edition:
1st ed. 2020.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2020.
System Details:
text file PDF
Summary:
This book constitutes the proceedings of the 17th International Workshop on Algorithms and Models for the Web Graph, WAW 2020, held in Warsaw, Poland, in September 2020. The 12 full papers presented in this volume were carefully reviewed and selected from 19 submissions. The aim of the workshop was to further the 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. Due to the corona pandemic the conference was postponed from June 2020 to September 2020.
Contents:
Hypergraph Analytics of Domain Name System Relationships
Global Graph Curvature
Information Diffusion in Complex Networks: a Model Based on Hypergraphs and its Analysis
A Scalable Unsupervised Framework for Comparing Graph Embeddings
Assortativity and Bidegree Distributions on Bernoulli Random Graph Superpositions
Clustering Coefficient of a Preferred Attachment Affiliation Network
Transience Versus Recurrence for Scale-Free Spatial Networks
The Iterated Local Directed Transitivity Model for Social Networks
A note on the conductance of the binomial random intersection graph
Iterated Global Models for Complex Networks
A Robust Method for Statistical Testing of Empirical Power-Law Distributions
Community Structures in Information Networks for a Discrete Agent Population.
Other Format:
Printed edition:
ISBN:
978-3-030-48478-1
9783030484781
Access Restriction:
Restricted for use by site license.

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