Social Network Visualization with Python

 

For this assignment, I created a social network graph using Python with the NetworkX and Plotnine libraries. The graph shows 10 nodes (labeled A through J) connected by edges representing relationships between them.

What worked well: Once I got everything set up, the code ran smoothly and generated a clean visualization. The Plotnine library made it easy to customize the appearance of the graph, and the spring layout algorithm created a nice spread of the nodes.

What problems did I encounter: The main issue I had was getting the graph to actually display. The code would run without errors, but the visualization window wouldn't show up. I ended up having to save it as a PNG file instead of viewing it directly, which worked perfectly.

Would I use this method again? Honestly, it depends on the project. For quick visualizations, this method works well once you have everything installed. However, the display issues were annoying. If I needed to do more complex network analysis or multiple visualizations, I'd probably use Python again since it's powerful and flexible. That said, I feel like R is way easier for making graphs in general; the syntax feels more intuitive for data visualization. For simple one-off graphs, something like NodeXL in Excel might be faster.

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