Aim
To analyze the social network of celebrities and to reveal the inherent structure of the network among them.
Summary
Twitter data was collected for the period of 8 days and network analysis was performed on that. Several interesting observations and findings were gathered by monitoring the social network and performing the network analysis at a detailed level.
My Role (What did I do, learn)
It was a great learning experience as this was my first project in the field of information visualization and data representation. Network analysis for the period of 8 days helped me derive meaningful insights from the graphs which would not have been clear from raw data. I used GEPHI for visualization, SQLite for database and Python for collecting and exporting files which could be feeded into GEPHI.
Design and Methodology
- A high level process of how I accomplished this network analysis is presented below:
- Create a private account on twitter
- Follow Kevin Bacon, your own twitter account and 50+ celebrities (Appendix A contains list of the 63 celebrities followed)
- Create Database to store the twitter data using Python and sqlite
- Create a file for GEPHI
- Create a neat version of the graph by assigning labels, identifying communities and highlighting well-connected celebrities, etc.
- Perform network analysis