Statistics and Data links roundup for November 23rd through December 29th:

• The Data and Story Library – DASL (pronounced “dazzle”) is an online library of datafiles and stories that illustrate the use of basic statistics methods. We hope to provide data from a wide variety of topics so that statistics teachers can find real-world examples that will be interesting to their students. Use DASL’s powerful search engine to locate the story or datafile of interest.
• Drawing graphs using tikz/pgf & gnuplot | politicaldata.org -

Statistics and Data links roundup for November 14th through November 23rd:

• SNAP: Network datasets -
• Network data -
• CASOS Tools: Network Analysis Data | CASOS – Network Analysis Data Casos & INSA
• NodeXL Teaching – CASCI – datasets incl. senate
• Statistics and Data links roundup -

It’s surprisingly difficult to find suitable datasets for a sna workshop that are relevant for political scientists.

Continue reading “Statistics and Data links roundup” »

More preliminary findings on Social Networks in Political Science: from our analysis of collaboration patterns in the British Journal of Political Science (BJPS) and Political Studies (PS), we conclude that co-publication is much more widespread and intense than in Germany (not a huge surprise). Yet, at least on the basis of these two journals, collaboration networks in British political science look rather fragile when compared to the sciences. Obviously, further research is needed.

Continue reading “Social Networks in British Political Science” »

Like most social scientists I am a little bit obsessed with social networks. I’m also interested in the sociology of knowledge, which is a little more original. So some time ago, a colleague and I embarked on a project called “Networks in Political Science”, which rather unsurprisingly tries to apply network analysis to publications in Political Science. Our basic idea is that everyone seems to take subfields, theoretical schools and even citation circles for granted, but unlike in some other disciplines, little empirical work has been done so far. More specifically, we want to identify

• highly cited articles that form the core of subfields
• individual influential scholars
• sub-networks of scholars that cite each other and/or collaborate frequently, thereby forming an “invisible college” and
• individuals that are able to bridge sub-discplinary divides by publishing in a whole host of subfields.

Continue reading “Social Networks in Political Science” »