Computing the \(k\) densest subgraphs of a graph
From MaRDI portal
Publication:2094387
DOI10.1016/j.ipl.2022.106316OpenAlexW3005673592MaRDI QIDQ2094387
Danny Hermelin, Riccardo Dondi
Publication date: 28 October 2022
Published in: Information Processing Letters (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2002.07695
algorithmsdensest subgraphalgorithm designalgorithmic aspects of networksnetwork mining and analysis
Cites Work
- Unnamed Item
- Unnamed Item
- Complexity of finding dense subgraphs
- Multivariate algorithmics for finding cohesive subnetworks
- Top-\(k\) overlapping densest subgraphs
- The densest subgraph problem with a convex/concave size function
- Top-\(k\) overlapping densest subgraphs: approximation algorithms and computational complexity
- Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters
- Finding Dense Subgraphs with Size Bounds
- On Finding Dense Subgraphs
- A network flow solution to some nonlinear 0-1 programming problems, with applications to graph theory
- Generating Sparse 2-Spanners
- A Fast Parametric Maximum Flow Algorithm and Applications
- Almost-polynomial ratio ETH-hardness of approximating densest k-subgraph
- Reducibility among Combinatorial Problems
- Greedily finding a dense subgraph
- Max flows in O(nm) time, or better
- The dense \(k\)-subgraph problem
This page was built for publication: Computing the \(k\) densest subgraphs of a graph