Maqola

Interactively Visualize and Analyze Social Network Gephi

Ahsan WajahatSchool of Software Engineering, Beijing University of Technology, Beijing, ChinaAhsan NazirSchool of Software Engineering, Beijing University of Technology, Beijing, ChinaFaheem AkhtarSchool of Software Engineering, Beijing University of Technology, Beijing, ChinaSirajuddin QureshiSchool of Software Engineering, Beijing University of Technology, Beijing, ChinaFaheem UllahSchool of Software Engineering, Beijing University of Technology, Beijing, ChinaFahad RazaqueSchool of Software Engineering, Beijing University of Technology, Beijing, ChinaAnum ShakeelDepartment of Computer Science, Sukkur IBA University, Sukkur, Pakistan

2020en

ABI

Annotatsiya

In recent times social media has become the most important part of everyone to connect with global world to share the information. Generally, Social media is used for multi-purposes such as reading newspaper, magazines and books. The actual involvement, i.e. likes and share of the post of social media is providing the specific interests of community. The information which we extract from social networking websites requires criteria for better understanding the essential factors and their importance. The main focus of this research is on the visualization of social network for an understanding of the involvement of the community. All the measures are set for specific profiles that use media houses and magazine fan pages, likes and favorites. In this study, we have used our personal Facebook profile to extract the data to visualize in the Gephi tool. It is useful here to point out the importance for Netvizz application that is a part of Facebook API. Simulation results show essential factors such as centrality measures for the social network mainly Facebook.

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Identifikatorlar

DOI: 10.1109/icomet48670.2020.9073812

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