A survey on the densest subgraph problem and its variants

T Lanciano, A Miyauchi, A Fazzone, F Bonchi - ACM Computing Surveys, 2024 - dl.acm.org
The Densest Subgraph Problem requires us to find, in a given graph, a subset of vertices
whose induced subgraph maximizes a measure of density. The problem has received a …

Efficient and effective algorithms for generalized densest subgraph discovery

Y Xu, C Ma, Y Fang, Z Bao - Proceedings of the ACM on Management of …, 2023 - dl.acm.org
The densest subgraph problem (DSP) is of great significance due to its wide applications in
different domains. Meanwhile, diverse requirements in various applications lead to different …

Finding dense and persistently expansive subgraphs

P Petsinis, CE Tsourakakis, P Karras - Companion Proceedings of the …, 2024 - dl.acm.org
How can we detect a group of individuals whose connectivity persists and even strengthens
over time? Despite extensive research on temporal networks, this practically pertinent …

Interrelated Dense Pattern Detection in Multilayer Networks

W Feng, L Wang, B Hooi, SK Ng… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Given a heterogeneous multilayer network with various connections in pharmacology, how
can we detect components with intensive interactions and strong dependencies? Can we …

Dense subgraphs in temporal social networks

R Dondi, PH Guzzi, MM Hosseinzadeh… - Social Network Analysis …, 2023 - Springer
Interactions among entities are usually modeled using graphs. In many real scenarios, these
relations may change over time, and different kinds exist among entities that need to be …

Faster streaming and scalable algorithms for finding directed dense subgraphs in large graphs

S Mitrović, T Pan - arxiv preprint arxiv:2311.10924, 2023 - arxiv.org
Finding dense subgraphs is a fundamental algorithmic tool in data mining, community
detection, and clustering. In this problem, one aims to find an induced subgraph whose edge …