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What Textexture does not do so well is statistics. When reading a network graph, being able to bounce between the individual statistics for each node and the wider context of the graph itself is the best way to make sense of it, but in Textexture, there are no readily available stats. However, what you can do, at the bottom of the interactive graph window, is download the gexf file for your newly built network. Once you download the gexf file, you can open it in Gephi and simply open up the Data Laboratory tab to view the complete stats for all of your nodes. (For more on using Gephi, again see our Network Analysis pages). For Newman's Lectures, the word "Faith" is the most central node in the graph by a number of measurements. Not only does it have the highest betweeness centrality of approximately 2,131 (nearly 1,500 605 (over 300 more than the next closest, "God") it also leads in connections with 66 and closeness centrality (measures how close any node is in number of connections from another node) 1.52.354.
Newman's Lectures on Justification were largely an attempted by him to attack the Protestant doctrine of justification by faith alone and prescribe his method for justification which largely centered are obedience (read: discipline) and works coupled with faith. However, reading through the graph (as opposed to linearly) we can see that faith made itself present in almost every aspect of Newman's argument, which is why it was so central. In semantic terms, Newman had discuss the idea he was attacking "justification by faith alone" along with the idea he was prescribing "justification through faith and works" (works in most cases meaning self-discipline and obedience to the church) thus, though not the central push of Newman's argument, faith was an important component of the work. Thus, as Nodus Labs argued in their aforementioned introductory paper, this tool does a good job at finding the words "which often appear at the junctions of meaning."