k-core: Theories and applications
YX Kong, GY Shi, RJ Wu, YC Zhang - Physics Reports, 2019 - Elsevier
With the rapid development of science and technology, the world is becoming increasingly
connected. The following dire need for understanding both the relationships amongst …
connected. The following dire need for understanding both the relationships amongst …
The core decomposition of networks: Theory, algorithms and applications
The core decomposition of networks has attracted significant attention due to its numerous
applications in real-life problems. Simply stated, the core decomposition of a network …
applications in real-life problems. Simply stated, the core decomposition of a network …
Efficient and effective community search on large-scale bipartite graphs
Bipartite graphs are widely used to model relation-ships between two types of entities.
Community search retrieves densely connected subgraphs containing a query vertex, which …
Community search retrieves densely connected subgraphs containing a query vertex, which …
When engagement meets similarity: efficient (k, r)-core computation on social networks
In this paper, we investigate the problem of (k, r)-core which intends to find cohesive
subgraphs on social networks considering both user engagement and similarity …
subgraphs on social networks considering both user engagement and similarity …
Efficient community search with size constraint
The studies of k-truss based community search demonstrated that it can find high-quality
personalized com-munities with good properties such as high connectivity and bounded …
personalized com-munities with good properties such as high connectivity and bounded …
Cohesive subgraph search over big heterogeneous information networks: Applications, challenges, and solutions
With the advent of a wide spectrum of recent applications, querying heterogeneous
information networks (HINs) has received a great deal of attention from both academic and …
information networks (HINs) has received a great deal of attention from both academic and …
A robust core architecture of functional brain networks supports topological resilience and cognitive performance in middle-and old-aged adults
WC Stanford, PJ Mucha… - Proceedings of the …, 2022 - National Acad Sciences
Aging is associated with gradual changes in cognition, yet some individuals exhibit
protection against age-related cognitive decline. The topological characteristics of brain …
protection against age-related cognitive decline. The topological characteristics of brain …
Towards efficient solutions of bitruss decomposition for large-scale bipartite graphs
In recent years, cohesive subgraph mining in bipartite graphs becomes a popular research
topic. An important cohesive subgraph model k-bitruss is the maximal cohesive subgraph …
topic. An important cohesive subgraph model k-bitruss is the maximal cohesive subgraph …
Scaling up k-clique densest subgraph detection
In this paper, we study the k-clique densest subgraph problem, which detects the subgraph
that maximizes the ratio between the number of k-cliques and the number of vertices in it …
that maximizes the ratio between the number of k-cliques and the number of vertices in it …
[PDF][PDF] K-Core Maximization: An Edge Addition Approach.
A popular model to measure the stability of a network is k-core-the maximal induced
subgraph in which every vertex has at least k neighbors. Many studies maximize the number …
subgraph in which every vertex has at least k neighbors. Many studies maximize the number …