Network Analysis – Blog Post

I chose to look at the project Banks and Bankers by Brian Sarnacki which looks into the connections of different banks and bankers (hence the title) in Grand Rapids. Within the project we can see lots of smaller nodes connected to larger nodes. When hovering over the larger nodes we see the name of banks and with the smaller nodes, we see different names. So the nodes represent different banks and bankers and the edges means that the banker that is a membership on the board of directors for that bank, which is given on the key to the left of the screen.

Some of the interactions that this project allows is the ability to click on nodes and see all the edges that node has with other nodes. Another cool feature is that you can filter by the different group of colors to just see that lone color. As described by Brian Sarnacki on the Corruption and Reform page, the color of each node and edge is determined by the modularity class and size by eigenvector centrality and when you click on a node, you can view all the numbers for each node on the right pane. Though looking at the webpage alone, it does not appear that you can tell how the nodes and edges are colored. I think having these features are nice but I do find that the webpage is quite boring to look at. Essentially all there is on the page is just the connections with numbers. There are not any captions or paragraphs describing the bank or banker or any interesting facts except number, which they also do not really expand on what the numbers mean.

Overall, I think the webpage has interesting an dataset, which was found on R. L. Polk & Co.’s Grand Rapids city directory published in 1902 through Google Books, but I do think that more needs to be added for it to be an engaging and more interesting webpage. Perhaps adding an image of the selected person with a description of who they where would be something to consider to add to this page.

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