Easy Social Network Analysis (for Evaluating Modular Adhocracies)

2013 EENP Forum

Day 2: Sept 23, 2013 • 3:45pm • Greenhouse

By Bethany Laursen

This session will teach you how to collect, enter and analyze data for a simple—yet powerful—social network analysis of a modular adhocracy social structure. This approach requires little time and training, and it will be useful for evaluating networked interactions across sectors or disciplines. Participants: download UCINET (free).

Bethany K. Laursen recently finished her M.S. in Environment & Resources and Forestry at the University of Wisconsin-Madison. With professional training in evaluation, facilitation, wilderness leadership and classical education, she is passionate about learning to live wisely in complex, high-stakes situations. She has been recognized for her abilities to analyze, weave, and leverage social networks, building collaborative capacity in organizations and communities. Bethany is originally from California but now lives in Maine, where she would like to pursue work in environmental evaluation and scholarship on interdisciplinary methods and training.

 

Environmental Evaluators
The EEN is helping advance the field of environmental evaluation through more systematic and collective learning.

1 Comment

  1. 16 September 13, 7:54am

    Greetings, fellow evaluators!

    It’s not often we get hands on training at conferences, but my goal is for you to return to your practice with at least more one useable tool from social network analysis (SNA). In my case study session, I will describe what a modular adhocracy is and how I used this standard. This skills building workshop will teach you how to do the analysis yourself in 4 easy steps using my data as an example.

    This will be useful to anyone trying to observe and evaluate collaborative clusters in learning networks.

    To maximize our hands-on time, bring your laptop (if you have one) with the software UCINET installed and my data downloaded. UCINET runs in Windows (or a Windows emulator on Mac) and is free for the first 90 days. You can download my data at http://go.wisc.edu/x3mh26. I will also have handouts with screenshots.

    Please comment here or email me with questions. Looking forward to it!

    Bethany Laursen
    University of Wisconsin-Madison

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