2026-05-01T09:30:59Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4425 2021-12-13T03:28:58Z 1582963302567:1597824273898 user-ucsy

A Comparison of Community Detection In Social Network Using Modularity Yu, Thanda Tin Social network analysis has undergone arenaissance with the ubiquity and quantity of contentfrom social media, web pages, and sensors. Thiscontent is a rich data source for constructing andanalyzing social networks. This paper is addressingthe problems in constructing the community structureof a networks. Graph analytics have proven to bevaluable tools in solving this challenges. Networkbecome an intensive subject of research for examplein computer science, networking, network sciencesetc., a growing need for valid and useful dataset ispresented. Useful ways of addressing this problemare sampling based on the nodes (user)ids in thesocial network until sufficient amount of data hasbeen obtained. This paper is presented thecommunity detection algorithm such as modularitymethods. Then compare the given dataset Vsdifferent data set. 2016-02-25 http://hdl.handle.net/20.500.12678/0000004425 https://meral.edu.mm/records/4425