شماره ركورد كنفرانس :
5263
عنوان مقاله :
A Review On Traditional Community Detection Methods On Networks
پديدآورندگان :
Khoeini Alireza alireza.khoeini@aut.ac.ir Department of Mathematics And Computer Science, Tehran Polytechnic, Valiasr Blvd.,Tehran 15875-44131, Iran. , Rashtchi Maryam rashtchimaryam@gmail.com Department of Administrative violations, Department of Education of Zanjan Province,Rosol Blvd., Zanjan 45138-69996, Iran.
كليدواژه :
artificial intelligence , graph machine learning , networks , community detection
عنوان كنفرانس :
54 امين كنفرانس رياضي ايران
چكيده فارسي :
Graphs and machine learning on graphs have revolutionized our ability to analyze complex relationships and structures. In the realm of network analysis, community detection plays a crucial role in uncovering hidden patterns and functional modules. In this study, we focus on community detection methods and their application to various domains.
