چکیده مقاله
Community detection in social networks is a fundamental problem in complex network analysis, aimed at identifying cohesive groups of nodes with strong intra group connections and weak inter group connections Classical methods, such as spectral clustering and modularity based algorithms, face challenges including dependence on initial parameters, sensitivity to data noise, and poor scalability in large and dynamic networks In the past decade, the emergence of deep learning based methods and their combination with metaheuristic algorithms such as grasshopper, whale, crow, and particle swarm optimization has brought significant improvements in the accuracy and stability of community detection In this review article, the latest research on community detection using hybrid deep learning and evolutionary optimization models is examined and compared The findings show that integrating autoencoders and graph neural networks GNNs with nature inspired algorithms leads to significant improvements in metrics such as modularity, accuracy, and NMI Furthermore, employing these hybrid frameworks enhances the ability to uncover hidden structures and overlapping communities in complex networks Finally, existing challenges including scalability, network dynamics, high computational cost, and model interpretability are discussed, and future directions for developing more efficient, interpretable, and adaptive methods for dynamic data are suggested
کلیدواژهها
نویسندگان
Fatemeh Foroughi Farzad
Department of Computer and Information Technology Engineering, Qa c, Islamic Azad University, Qazvin, Iran
Mehdi Molatalebi
Department of Computer and Information Technology Engineering, Qa c, Islamic Azad University, Qazvin, Iran
شیوه ارجاع
Foroughi Farzad, Fatemeh and Molatalebi, Mehdi,1404,A Review of Community Detection Methods in Social Networks with a Focus on the Integration of Deep Learning and the Grasshopper Algorithm,Conference on Artificial Intelligence in Emerging Economies and Digital Businesses (AIEEDB),Yazd
ارائهشده در
مجموعه مقالات کنفرانس هوش مصنوعی در اقتصادهای نوظهور و کسب وکارهای دیجیتال21 آبان 1404 · یزد