This is week is full of fun. I started collecting different kinds of data and had chances to learn from previous SNS analysis. The SNS analysis is complex but\u00a0interesting, which is very attractive to me.
\nThe biggest problem I had was to integrate\u00a0people\u2019s information from\u00a0different social network. Before collecting data, I thought people\u2019s email address would be a good source to identify different subjects. However, for privacy and safety issue, some social network, such as Facebook, don\u2019t allow people to extract that information. Therefore, I may need to change my idea, and consider using multiple identifiers or using \u201csoft\u201d identifier, such as Names, to label different subjects.
\nI also learned and experienced Gephi, which is a powerful tool for sns analysis and visualization. However, Gephi needs to import not only node data but also edge information. So it would be challengeable to create linkage across different sources if we don\u2019t have valid identification label. There are still many things I to learn and investigate. I will keep working\u00a0Gephi and think of a way\u00a0to create comprehensive network visualization by this tool.
\nFor next week, data integration is my priority. I will extract rest of data and integrate them. Then, I will try to synthesize the data by writing some code and do experiment on clustering and visualization. It will be very exciting to see the overlap between different social networks.<\/p>\n","protected":false},"excerpt":{"rendered":"
This is week is full of fun. I started collecting different kinds of data and had chances to learn from previous SNS analysis. The SNS analysis is complex but\u00a0interesting, which is very attractive to me. The biggest problem I had was to integrate\u00a0people\u2019s information from\u00a0different social network. Before collecting data, Continue reading Week Three<\/span>