Social Network Analysis (SNA): In Facebook Higher Education Groups Using NASA (Network Analysis Software Applications)

International Journal of Artificial Intelligence and Knowledge Discovery

Dr.Mamta Madan³  Ms. Meenu chopra²  Dr.Meenu Dave¹ 

[1] ProfessorJaganNath University;Assistant Professor,Vivekananda Institute of Professional Studies;ProfessorVivekananda Institute Of Professional Studies

关键词: : Graphical user interface (GUI);    Graphs and Networks;    Network Analysis Software Applications (NASA);    Online Social Media Networks (OSMNs);    Social media analysis (SMA);    Higher Education (HE);    Social Networking Sites (SNS).;   

DOI  :  

学科分类：建筑学

来源: RG Education Society

【 摘 要 】

In this paper, we explore and use different social networking analysis applications to have network description, layout, framework and exploration. We test these network analysis and visualization applications with the online social media graph network data set fetch from the ego (personal) social network or online higher education social media groups. We will display how these network analysis software applications (NASA) work with a sequence of operations starting data import to the calculation of network metrics and processing of network presentation through classification, cleaning, and assembling functions. These various actions will disclose important patterns or motifs of interactions between participants in the online social media group on Facebook. At last, we discuss case studies related to Facebook higher education groups by using and exploring these software applications for network analysis.---In this paper, we explore and use different social networking analysis applications to have network description, layout, framework and exploration. We test these network analysis and visualization applications with the online social media graph network data set fetch from ego (personal) social network or online higher education social media groups. We will display how these network analysis software applications (NASA) work with a sequence of operations starting data import to the calculation of network metrics and processing of network presentation through classification, cleaning, and assembling functions. These various actions will disclose important patterns or motifs of interactions between participants in the online social media group on Facebook. At last, we discuss case studies related to Facebook higher education groups by using and exploring these software applications for network analysis.

【 授权许可】

Unknown