Del 12091 i serien Lecture Notes in Computer Science

Algorithms and Models for the Web Graph

17th International Workshop, WAW 2020, Warsaw, Poland, September 21–22, 2020, Proceedings

Häftad, Engelska, 2020

AvBogumił Kamiński,Paweł Prałat,Przemysław Szufel

729 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Produktinformation

Utgivningsdatum2020-05-14
Mått155 x 235 x 11 mm
Vikt289 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor173
FörlagSpringer Nature Switzerland AG
ISBN9783030484774

Tillhör följande kategorier

Tillämpad datateknik inom Data och IT
Systemvetenskap och AI inom Data och IT
Programmeringsböcker inom Data och IT
Referensverk och tvärvetenskap inom Samhälle och politik

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.