| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Algorithms and models for the web graph/ edited by Megan Dewar ... [et al.]. |
| Reminder of title: |
18th International Workshop, WAW 2023, Toronto, ON, Canada, May 23-26, 2023 : proceedings / |
| remainder title: |
WAW 2023 |
| other author: |
Dewar, Megan. |
| corporate name: |
WAW (Workshop) |
| Published: |
Cham :Springer Nature Switzerland : : 2023., |
| Description: |
x, 193 p. :ill. (chiefly color), digital ;24 cm. |
| [NT 15003449]: |
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. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Computer algorithms - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-32296-9 |
| ISBN: |
9783031322969 |