US Olympic and Paralympic Social Network Analysis
My partner, Elizabeth Conway, and I researched various social media networks relating to TeamUSA and the 2020 Olympic and Paralympic Games. By utilizing NodeXL, we were able to analyze data from Twitter, Wikipedia, and YouTube.
Figure 1.1 - Team USA Olympic Twitter Network. Filtered network of the conversation about Team USA and the Tokyo Olympics. Groups are generated after filtering and colored by NodeXL. Vertex size is based on In-Degree
Figure 1.2 - Team USA Paralympic Twitter Network.Filtered network of the conversation about Team USA and the Tokyo Paralympics. Groups are generated after filtering and colored by NodeXL. Vertex size is based on In-Degree.
Figure 2.1 - Team USA Olympic Semantic Network. Filtered view of the most common words in the network. They are sized by degree and the color is automatically generated.
Figure 3.1 - US Olympic & Paralympic Committee Wikipedia network. Vertices are sized by PageRank and colored by group. Seed article is not visible, and the edges are unweighted.
Figure 4.2 - Paralympic YouTube network. Vertices are colored by group and sized by views. Edges are weighted by Edge Weight
- Category: Social Network Analysis
- Course: Social Network Analysis (JRMC 7250)
- Technology: NodeXL
- Project date: Spring 2020