A review of clique-based overlap** community detection algorithms
Detection of communities is one of the prominent characteristics of vast and complex
networks like social networks, collaborative networks, and web graphs. In the modern era …
networks like social networks, collaborative networks, and web graphs. In the modern era …
LPANNI: Overlap** community detection using label propagation in large-scale complex networks
M Lu, Z Zhang, Z Qu, Y Kang - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Overlap** community structure is a significant feature of large-scale complex networks.
Some existing community detection algorithms cannot be applied to large-scale complex …
Some existing community detection algorithms cannot be applied to large-scale complex …
A mixed representation-based multiobjective evolutionary algorithm for overlap** community detection
Designing multiobjective evolutionary algorithms (MOEAs) for community detection in
complex networks has attracted much attention of researchers recently. However, most of …
complex networks has attracted much attention of researchers recently. However, most of …
Ego-splitting framework: From non-overlap** to overlap** clusters
We propose ego-splitting, a new framework for detecting clusters in complex networks which
leverage the local structures known as ego-nets (ie the subgraph induced by the …
leverage the local structures known as ego-nets (ie the subgraph induced by the …
[Free GPT-4]
Community detection is an important tool to analyze hidden information such as functional
module and topology structure in complex networks. Compared with traditional community …
module and topology structure in complex networks. Compared with traditional community …
A novel complex network community detection approach using discrete particle swarm optimization with particle diversity and mutation
X Li, X Wu, S Xu, S Qing, PC Chang - Applied Soft Computing, 2019 - Elsevier
Community detection in complex network is a hot issue in the field of complex network. This
paper proposed a community detection approach in complex network using discrete particle …
paper proposed a community detection approach in complex network using discrete particle …
APAL: Adjacency Propagation Algorithm for overlap** community detection in biological networks
We propose a novel method called Adjacency Propagation Algorithm (APAL) which
considers the notion that the adjacent vertices are the best candidates for detecting …
considers the notion that the adjacent vertices are the best candidates for detecting …
Revealing the role of node similarity and community merging in community detection
J Zhang, X Ding, J Yang - Knowledge-Based Systems, 2019 - Elsevier
Many real-world networks are characterized by well-defined statistics of overlap** and
nested communities. This paper proposes a series of seed-extension-based, overlap** …
nested communities. This paper proposes a series of seed-extension-based, overlap** …
Cluster editing with overlap** communities
Cluster Editing, also known as correlation clustering, is a well-studied graph modification
problem. In this problem, one is given a graph and allowed to perform up to k edge additions …
problem. In this problem, one is given a graph and allowed to perform up to k edge additions …