A local community detection algorithm based on internal force between nodes
K Guo, L He, Y Chen, W Guo, J Zheng - Applied Intelligence, 2020 - Springer
Community structure is an important characteristic of complex networks. Uncovering
communities in complex networks is currently a hot research topic in the field of network …
communities in complex networks is currently a hot research topic in the field of network …
A robust two-stage algorithm for local community detection
X Ding, J Zhang, J Yang - Knowledge-Based Systems, 2018 - Elsevier
Local community detection addresses the efficiency problem faced by global community
detection. Most existing local community detection algorithms take a seed as an initial …
detection. Most existing local community detection algorithms take a seed as an initial …
Local community detection in multilayer networks
The problem of local community detection in graphs refers to the identification of a
community that is specific to a query node and relies on limited information about the …
community that is specific to a query node and relies on limited information about the …
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** …
Multiplex community detection in complex networks using an evolutionary approach
Multiplex networks are the general representative of complex systems composed of distinct
interactions between the same entities on multiple layers. Community detection in the …
interactions between the same entities on multiple layers. Community detection in the …
Node-community membership diversifies community structures: An overlap** community detection algorithm based on local expansion and boundary re-checking
X Ding, J Zhang, J Yang - Knowledge-Based Systems, 2020 - Elsevier
Local expansion methods excel in efficiency for mining overlap** communities in real-
world networks. However, two problems prevent such methods from identifying diversely …
world networks. However, two problems prevent such methods from identifying diversely …
Local community detection: A survey
Community detection is a flourishing research field with a plethora of applications ranging
from biology to sociology. Local community detection has emerged as a promising subfield …
from biology to sociology. Local community detection has emerged as a promising subfield …
A local community detection algorithm based on potential community exploration
S Wang, J Yang, X Ding, J Zhang, M Zhao - Frontiers in Physics, 2023 - frontiersin.org
Local community detection aims to detect local communities that have expanded from the
given node. Because of the convenience of obtaining the local information of the network …
given node. Because of the convenience of obtaining the local information of the network …
Attributed community search based on effective scoring function and elastic greedy method
In recent years, with the proliferation of rich attribute information available for entities in real-
world networks and the increasing demand for more personalized community searches …
world networks and the increasing demand for more personalized community searches …
Overlap** Community Detection Based on Weak Equiconcept
S Shi, M Yan, J Li - IEEE Access, 2024 - ieeexplore.ieee.org
Community discovery refers to the process of searching for clusters in a network that are
sparsely connected to other nodes and formed dense connections internally. In many real …
sparsely connected to other nodes and formed dense connections internally. In many real …