Oct 6, 2023 · In this new model, we consider a fundamental problem in graph mining, that is, finding the densest subgraphs. To deal with this problem, we ...
Oct 7, 2023 · In this new model, we consider a fundamental problem in graph mining, that is, finding the densest subgraphs. To deal with this problem, we ...
Mar 20, 2021 · In this paper we focus on an approach recently introduced to identify dense subgraphs in a temporal network and we present a heuristic, based on the local ...
We propose a problem for the identification of k densest subgraphs that are temporally disjoint in a temporal dual network, and we design a heuristic for it.
In this new model, we consider a fundamental problem in graph mining, that is, finding the densest subgraphs. To deal with this problem, we propose an approach ...
In this new model, we consider a fundamental problem in graph mining, that is, finding the densest subgraphs. To deal with this problem, we propose an approach ...
In this new model, we consider a fundamental problem in graph mining, that is, finding the densest subgraphs. To deal with this problem, we propose an approach ...
People also ask
What is a dense subgraph?
What is network density in social network analysis?
How do social network analysis, SNA, and graph theory contribute to understanding social networks?
What are social network graphs How does clustering of social network graphs work?
In this paper we focus on an approach recently introduced to identify dense subgraphs in a temporal network and we present a heuristic, based on the local ...
This paper focuses on an approach recently introduced to identify dense subgraphs in a temporal network and presents a heuristic, based on the local search ...
Abstract—Dense subgraph discovery has proven useful in various applications of temporal networks. We focus on a special class of temporal networks whose ...