This week is a very busy week. I re-check, clean, and organize all my codes, data, and visualization files. To make sure the files could be used in the future, I put comments and instructions to all the files, and detailedly write each step to integrate data and generate the visualization. Also I inserted Continue reading Week Nine
The primary task these days is to integrate new information to old data set and regenerate visualization. This week I got some new data from my Mentor and I integrated them into previous data set. Because I processed data by different stages, such as integrate information, remove duplicates, and check Continue reading Week Eight
After generating all information together in one file, I did cross-reference by hand to match the same person with similar names. It took a lot time because I need to go back to check the original data and search online to confirm that the similar names represent the same person. Continue reading Week Seven
This week I focused on integrating other useful information, such as work role and sector, all together with other visualization data. Those data are not simple integer, but also some unorganized phrases or sentences. Therefore, I switched the programming language to Python. It was not easy at first, but the Continue reading Week Six
Last week I got the initial visualization, but the integrated data seemed to have some mistakes. One large cluster of four webinar followers moved away from the central big cluster. It means that none of followers in that webinar cluster followed other SNS accounts. However, it was confirmed that some users in the Continue reading Week Five
This is week is full of coding and visualization. Eventually, I collected all SNS data. To see the overlap between followers from different SNS account, I decided to use names as identifier (because email address is not available). I cleaned data collected from different SNS account, split identifiers, integrated all Continue reading Week Four
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 interesting, which is very attractive to me. The biggest problem I had was to integrate people’s information from different social network. Before collecting data, Continue reading Week Three
This week I explored different software for conduction network analyses. When I started wondering around, I found there were many, many tools available online. So the question was not only about picking one useful software, but was about finding efficient software, which is proper for our data set. It is Continue reading Week Two: Social Network Analysis Applications
It has been an exciting week to start my internship project at DataOne. I met my mentor Amber Budden and Yiwei Wang and discussed DataOne Community Engagement Activities with them. We made our plan for the internship and described the expected results. Also, I had a chance to hear mentor Continue reading Week One