An experiment in writing in public, one page at a time, by S. Graham, I. Milligan, & S. Weingart

Chapter Six Conclusion and Further Reading

1 Leave a comment on paragraph 1 0 There are many resources available to those interested in delving further into network analysis. Networks, Crowds, and Markets by Easley and Kleinberg[1] is an approachable introduction, and most similar to what this section would look like if it had been expanded into its own book. It is particularly noteworthy for its ability to connect abstract network concepts with real, modern social phenomena. Wasserman and Faust’s Social Network Analysis[2] is a canonical textbook that focuses on smaller scale network analysis, and the associated issues of data collection and preparation. It is more mathematical than the former, and recommended for the historian who wants to go from understanding network analysis to applying it, especially on small-to-medium scale datasets. Newman’s Networks: An Introduction[3] is the network textbook for modern, large-scale network analysis of any sort, from metabolic networks to social. It is highly formal and mathematical, and is recommended for those who want to seriously engage with their network science colleagues, and who want to help develop new algorithms, tools, and methods for historical network analysis.

2 Leave a comment on paragraph 2 0 Textbooks exist as well for the various network analysis software packages available, which encompass both concepts and tool use. For those already familiar with UCINET, or who are interested particularly in matrix manipulations, Analyzing Social Networks by Borgatti, Everett, and Johnson[4] is the book to read. Those wishing to do network analysis in Excel using NodeXL should find Analyzing Social Media Networks with NodeXL by Hansen, Shneiderman, and Smith.[5] Pajek, one of the most feature-rich network analysis programs, can be learned from Exploratory Social Network Analysis with Pajek, by De Nooy, Mrvar, and Batagelj.[6] The Network Workbench and the Sci2 Tool both have extensive user manuals linked from their homepages. Unfortunately, the software we recommend for historians beginning in network analysis, Gephi, does not yet have an extensive centralized learning guide.

3 Leave a comment on paragraph 3 0 [1] David Easley and Jon M. Kleinberg,Networks, Crowds, and Markets: Reasoning About a Highly Connected World (Cambridge, UK: Cambridge University Press, 2010).

4 Leave a comment on paragraph 4 0 [2] Stanley Wasserman and Katherine Faust. Social Network Analysis: Methods and Applications, 1st ed. (Cambridge, UK: Cambridge University Press, 2010).

5 Leave a comment on paragraph 5 0 [3] Mark E. J. Newman, Networks: An Introduction, 1st ed. (New York: Oxford University Press, 2010)..

6 Leave a comment on paragraph 6 0 [4] Stephen Borgatti, Martin G. Everett, and Jeffrey C. Johnson. Analyzing Social Networks, 1st edition (Thousand Oaks, Calif.; London: SAGE Publications Ltd., 2013).

7 Leave a comment on paragraph 7 0 [5] Derek Hansen, Ben Shneiderman, and Marc A. Smith. Analyzing Social Media Networks with NodeXL: Insights from a Connected World, 1st ed. (Burlington, MA: Morgan Kaufmann, 2010).

8 Leave a comment on paragraph 8 0 [6] Wouter de Nooy, Andrej Mrvar, and Vladimir Batagelj, Exploratory Social Network Analysis with Pajek (Cambridge, UK: Cambridge University Press, 2005).

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