Community Detection in Networks: A Comparative study
- Resource Type
- Conference
- Authors
- Priya, Annu; Sharma, Suvarna; Sinha, Keshav; Yogesh, Yogesh
- Source
- 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT) Device Intelligence, Computing and Communication Technologies, (DICCT, 2023 International Conference on. :505-510 Mar, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Heuristic algorithms
Image edge detection
Complex networks
Network architecture
Feature extraction
Communications technology
Behavioral sciences
networks
community
modularity
community detection
- Language
In this paper, various approaches for community detection in complex networks are studied. The existence of community structure is most important features for community detection algorithms in a complex network. These algorithms are based on order to unmask the structural properties of the network and dynamic behaviors with the maximization of modularity. As a result, one of the most challenging problems in network is community detection i.e. NP-hard in modern network science. In this paper an improved Louvain Algorithm has been embodied that reduces the computational time and also maximize the modularity due to resolution limit.