Task 9: Network Assignment Using Golden Record Curation

Visualization 1: Raw Data 

Conclusions: We are all interconnected. As a science teacher, all I could see was the connection between a food web: 

Due to this interconnectedness, it is apparent why algorithms need to be created to tease out these relationships in order to make connections, rank importance and target ads.

Visualization 2: Names on the outside 

In an attempt to make sense of what I was seeing, I attempted to organize the data by placing the names of the individuals on the outside of the web. This did not help. 

Visualization 3: Songs on the outside

Realizing that we all were asked to pick 10 songs and organizing the names on the outside of the web would just confirm this, I decided to put the songs on the outside of the web. 

 

From this visual, it appears that the most popular tracks were: track 7, 3, 23 20, 25,18 and 5. The least popular tracks were 8, 10, 17 and 13. 

Visualization 4: My community

 

I am a member of community 2 on this app. In community 2, there are 4 members, 18 songs and 40 edges. In disseminating this data further it appears that Sophy, Agnes, Alexis and I all picked similar songs; we all picked track 5, 2 and 23. Track 6 was the only song that I picked which another member of my community did not include. Although it is clear why this app placed us in the same community, the reason why each of these people included or did not include a particular song is not clear based on only their names. In the absence of personal information, I can not make a connection to or assumptions about the other members of my community. Perhaps this is why companies sell personal information to other companies in order to further understand the reasoning behind the clicks on the internet.