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*****  To join INSNA, visit http://www.insna.org  *****

Michael,

The last years I taught SNA in university courses and I used different  
methods/approaches to do that. From my perspective
the best way to understand networks is to study your own networks. My  
students had to perform specific tasks and they analyzed
their collaborative networks themselves. We used UCINet and Visone  
(visone.info) for static networks.

 > Nonobvious ideas:
Software/Hardware
- NodeXL to analyze networks in Excel (www.codeplex.com/NodeXL)
- Condor (www.ickn.org) for the analysis of dynamic networks of emails.
- Social Badges to track their interactions (http://hd.media.mit.edu/badges/ 
)

Projects:
- Social simulations in university courses (e.g. we simulated  
organizations in courses to study the self-organization of  
collaboration)
- Students organize a small conference to present their findings,  
listen to presentations of researchers and talk with other people
about network analysis (we did that last year: www.asna.org/konferenz)

Best regards,
Lukas

---
Lukas Zenk, PhD.cand.
Member of the scientific staff
Danube University Krems, Austria
Department of Knowledge and Communication Management

Lecturer at the Vienna University of Technology


Am 21.10.2009 um 02:25 schrieb Michael Heaney:

> ***** To join INSNA, visit http://www.insna.org *****
> Dear All,
>
> I'm putting together a grant to help support undergraduate education  
> on social networks at the University of Michigan.  The grant focuses  
> on technology.  I'm looking for ideas on how to propose to spend the  
> money.  For example, I'm proposing to buy 40 copies of UCINet.  But  
> I would welcome other suggestions.  Software purchase is an obvious  
> possibility, so specific recommendations on which software is best  
> would be helpful.  Nonobvious ideas are welcome too!
>
> Please e-mail your suggestions to me privately at [log in to unmask]
>
> Thanks!
>
> Michael
>
> -- 
> Michael T. Heaney, Ph.D.
> Assistant Professor of Organizational Studies & Political Science
> University of Michigan
> 722 Dennison Building
> 500 Church Street
> Ann Arbor, MI 48109-1042
> Cell phone: 202-236-3369
> E-mail: [log in to unmask]
> http://www.umich.edu/~mheaney/
>
>
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