Community detection in social networks using a local approach based on node ranking
Community detection is crucial for analyzing the structure of social networks and extracting
hidden information from them. The goal is to find groups of nodes (communities) with high …
hidden information from them. The goal is to find groups of nodes (communities) with high …
A label propagation-based method for community detection in directed signed social networks
Community detection is one of the most essential issues in social networks analysis field.
Among the available categories of algorithms, the label propagation algorithm-based (LPA …
Among the available categories of algorithms, the label propagation algorithm-based (LPA …
Multiplex Community Detection in Social Networks Using a Chaos‐Based Hybrid Evolutionary Approach
Network analysis involves using graph theory to understand networks. This knowledge is
valuable across various disciplines like marketing, management, epidemiology, homeland …
valuable across various disciplines like marketing, management, epidemiology, homeland …
Research on the characteristics of information propagation dynamic on the weighted multiplex Weibo networks
Y Qian, F Nian - Big Data Research, 2024 - Elsevier
In order to simulate the forwarding situation of different categories of Weibo and discover
interesting propagation phenomena in different layers of Weibo networks, this paper …
interesting propagation phenomena in different layers of Weibo networks, this paper …
-LPA: Fast GPU-based Label Propagation Algorithm (LPA) for Community Detection
S Sahu - arxiv preprint arxiv:2411.11468, 2024 - arxiv.org
Community detection is the problem of identifying natural divisions in networks. Efficient
parallel algorithms for identifying such divisions are critical in a number of applications. This …
parallel algorithms for identifying such divisions are critical in a number of applications. This …