A comprehensive survey on community detection with deep learning
Detecting a community in a network is a matter of discerning the distinct features and
connections of a group of members that are different from those in other communities. The …
connections of a group of members that are different from those in other communities. The …
[HTML][HTML] A new attributed graph clustering by using label propagation in complex networks
The diffusion method is one of the main methods of community detection in complex
networks. In this method, the use of the concept that diffusion within the nodes that are …
networks. In this method, the use of the concept that diffusion within the nodes that are …
A stable community detection approach for complex network based on density peak clustering and label propagation
Dividing a network into communities has great benefits in understanding the characteristics
of the network. The label propagation algorithm (LPA) is a fast and convenient community …
of the network. The label propagation algorithm (LPA) is a fast and convenient community …
LSMD: A fast and robust local community detection starting from low degree nodes in social networks
Community detection is an appropriate approach for discovering and understanding the
structure and hidden information in complex networks One of the most critical issues in the …
structure and hidden information in complex networks One of the most critical issues in the …
Graph Analysis with Multifunctional Self‐Rectifying Memristive Crossbar Array
Many big data have interconnected and dynamic graph structures growing over time.
Analyzing these graphical data requires the hidden relationship between the nodes in the …
Analyzing these graphical data requires the hidden relationship between the nodes in the …
Social Network Analysis: A Survey on Process, Tools, and Application
Due to the explosive rise of online social networks, social network analysis (SNA) has
emerged as a significant academic field in recent years. Understanding and examining …
emerged as a significant academic field in recent years. Understanding and examining …
PLDLS: A novel parallel label diffusion and label Selection-based community detection algorithm based on Spark in social networks
Parallel and distributed community detection in large-scale complex networks, such as
social networks, is a challenging task. Parallel and distributed algorithm with high accuracy …
social networks, is a challenging task. Parallel and distributed algorithm with high accuracy …
Prescribed-time cluster synchronization of uncertain complex dynamical networks with switching via pinning control
L Liu, X Ding, W Zhou - Neurocomputing, 2021 - Elsevier
This paper focuses on the cluster synchronization problem in the prescribed-time of a class
of uncertain complex dynamical networks with switching signal which is characterized by …
of uncertain complex dynamical networks with switching signal which is characterized by …
A new single-chromosome evolutionary algorithm for community detection in complex networks by combining content and structural information
E Pourabbasi, V Majidnezhad, ST Afshord… - Expert Systems with …, 2021 - Elsevier
Community detection is an important step in perceiving network structure and performance
for complex network analysis. The rapid growth of network data in recent years has piqued …
for complex network analysis. The rapid growth of network data in recent years has piqued …
Label propagation algorithm based on node importance
Label propagation algorithm (LPA) has attracted much attention due to its linear time
complexity. However, there are disadvantages of uncertainty and randomness in the label …
complexity. However, there are disadvantages of uncertainty and randomness in the label …