Project Visualization

 

This visualization was produced using UCINET software. I chose this visualization, because it is easy to see how many births (teal squares) appear around the central node (birth year). The software allows for me to organize the nodes according to weight, which means they are sized according to how many nodes are attached to them. In this case, that means how many people were born in that year. The circle of graphs is also organized from largest (green node) to smallest (purple node). UCINET also gives me the number of how many connecting nodes (people) were born in each year. This is a centrality score.  For clarity, I have included that next:

1856:  28 births

1857: 22 births

1858: 21 births

1859: 25 births

1860: 32 births

It is important to note that the years are independent of one another, making the visualization unique and very easily edited. UCINET also offers easy labelling options and scaling of nodes, which creates a user-friendly diagram for pre-Civil War births.  The year labels are formatted in the following manner:

1866 = Six, Sixty

And so on.

 

 

This visualization was produced using UCINET as well, except it portrays births during the five years after the end of the Civil War in 1865. Like the graphic featured above, this shows how many people were born in each year, represented by the pale teal dots surrounding the central nodes. The central nodes are the birth years, and they are weighted according to how many indivdiuals are attached to them. The largest node is again the grey/purple node to th right, and the smallest node is the red node on the left. UCINET also provided a list of centrality scores for these dates. They are as follows:

1866: 29

1867: 31

1868: 36

1869: 33

1870: 40

 

Again, these years are independent of one another, which makes editing the visualization fairly simple in UCINET. The nodes are also labelled with the years, as mentioned above, following the same naming process used to make the data become more compatible with the UCINET software.

 

**Changes were made after an in-class peer review by Gareth Minson and Hugh Crump