Strategy Seminar with Ann Langley from April 4-7, 2016

At my school, the German Graduate School of Management and Law (GGS), we’re organizing a series of seminars called Methods in Business Research. We’re aiming to hold these seminars about two times a year. This year we had Steve Borgatti (University of Kentucky), giving a seminar on Social Network Analysis, for example. For one of the seminars in 2016, we’ll have Professor Ann Langley from HEC Montréal. Ann will be teaching her course ‘Reading, Doing & Publishing Research in Strategy & Management’ from April 4-7, 2016, in Heilbronn, Germany. Ann’s a great scholar, a fabulous teacher, and a very nice person to work with. I know this because I was fortunate enough to have taken her course during my stay at McGill University last winter. I can thus highly recommend it. You can find more details below.  Continue reading Strategy Seminar with Ann Langley from April 4-7, 2016

Call for Papers: Social Media Network Analysis

Here is an interesting call for papers on social media network analysis. The session will be held at the International Conference on Social Science Methodology in Sydney, Australia, from July 9 to 13, 2012. Submissions can be made until December 1, 2011.

Social Media Network Analysis

Session Convenor: Robert Ackland, Australian National University

This session is focused on innovative approaches for collecting and analysing social media network data in the context of social science research. Relevant data sources include digital trace data from newsgroups, WWW hyperlink networks, virtual worlds, social network sites (e.g. Facebook), blogs and micro-blogs (e.g. Twitter). While all papers focused on innovative research methods for born-digital social data are welcome, preference will be given to those involving statistical social network analysis techniques. We are also interested in papers focusing on computational social science and the challenges (and opportunities) for social scientists in an era of abundance of large-scale social media data sets.

Thoughts on the 5th Trier Summer School on Social Network Analysis #tsna

I spent most of last week at the 5th Trier Summer School on Social Network Analysis. I have to say that Mar­kus Gam­per, Andreas Herz and Richard Heidler were doing a great job as lecturers and convenors of the workshops. John Padgett from the University of Chicago held an inspiring keynote speech on the first night talking about his enduring work on the Medici.

The first two days were filled with theory (an excellent, extensive reading list was provided prior to the course), the last 3.5 days were practical training with real data using different types of software, namely PajekGephi, Vennmaker and R. While I was already familiar with a number of the readings and concepts discussed, the use of the different software tools for data entry, visualization and analysis was still new to me. Although we discussed a number of interesting data sets, the most entertaining one was the network of Richard’s wedding party where people were seated at tables based on friendship cliques. I guess you can tell that Richard treasures his profession and discipline 😉

5te trierer summer school 21

The most valuable bit of the week was probably a session that could best be translated as ‘research consultancy’. Everyone had the chance to submit their project proposals by the beginning of the summer in order to have them reviewed by the researchers listed above. I have had some feedback on my work from colleagues in my discipline when attending the AOM2011, however the summer school was a great chance to collect more ideas in methodological terms. Richard made me aware of the use of R for generating stochastic models of networks and conducting significance tests, for example.

Throughout the week I paid closer (than usual) attention to the #SNA hashtag on Twitter and discovered a few interesting posts. There is an active Gephi community in Berlin. Furthermore, I discovered niche sites for SNA in historical research and SNA in organizational research. Last but not least, I came across a new tool for managerial network analysis called Socilyzer.