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A survey of community search over big graphs
With the rapid development of information technologies, various big graphs are prevalent in
many real applications (eg, social media and knowledge bases). An important component of …
many real applications (eg, social media and knowledge bases). An important component of …
Efficient (α, β)-core computation: An index-based approach
The problem of computing (α, β)-core in a bipartite graph for given α and β is a fundamental
problem in bipartite graph analysis and can be used in many applications such as online …
problem in bipartite graph analysis and can be used in many applications such as online …
[PDF][PDF] Vertex Priority Based Butterfly Counting for Large-scale Bipartite Networks.
Bipartite networks are of great importance in many realworld applications. In bipartite
networks, butterfly (ie, a complete 2× 2 biclique) is the smallest non-trivial cohesive structure …
networks, butterfly (ie, a complete 2× 2 biclique) is the smallest non-trivial cohesive structure …
Efficient (, )-core computation in bipartite graphs
The problem of computing (α, β α, β)-core in a bipartite graph for given α α and β β is a
fundamental problem in bipartite graph analysis and can be used in many applications such …
fundamental problem in bipartite graph analysis and can be used in many applications such …
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 …
Unboundedness and efficiency of truss maintenance in evolving graphs
Y Zhang, JX Yu - Proceedings of the 2019 International Conference on …, 2019 - dl.acm.org
Due to the ubiquity of graphs, graph analytics has attracted much attention from both
research and industry communities. The notion of k-truss is widely used in graph analytics …
research and industry communities. The notion of k-truss is widely used in graph analytics …
[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 …
Size-constrained community search on large networks: An effective and efficient solution
As a fundamental graph problem, community search is applied in various areas, eg, social
networks, the world wide web, and biology. A common requirement from real applications is …
networks, the world wide web, and biology. A common requirement from real applications is …
Exploring cohesive subgraphs with vertex engagement and tie strength in bipartite graphs
We propose a novel cohesive subgraph model called τ-strengthened (α, β)-core (denoted as
(α, β) τ-core), which is the first to consider both tie strength and vertex engagement on …
(α, β) τ-core), which is the first to consider both tie strength and vertex engagement on …
Exploring finer granularity within the cores: Efficient (k, p)-core computation
In this paper, we propose and study a novel cohesive subgraph model, named (k, p)-core,
which is a maximal subgraph where each vertex has at least k neighbours and at least p …
which is a maximal subgraph where each vertex has at least k neighbours and at least p …