***** To join INSNA, visit http://www.insna.org *****
I would like to invite you to think about submitting to, and/or
subscribing to TRAILs.
TRAILS is an online, modular (by topic and type of teaching tool)
and searchable database for the creation and dissemination of
peer-reviewed teaching resources. It is published by the American
(The acronym stands for Teaching Resources and Innovations Library
I am the Trails Digital Library Area Editor for teaching and
learning materials related to 'Social Networks' and
I would welcome SOCNET members and others to submit teaching
resources on social networks and/or microcomputing, and to also
consider subscribing to TRAILS.
Some information about TRAILS is provided at:
I have held off advertising this before, partly because I was
waiting for the system to get up and running, and for some the
technical glitches to get overcome. I believe we are over the hump
Some while ago a number of you submitted materials to an earlier
teaching resource that was published by the ASA:
Tindall, D.B. and Todd E. Malinick. 2008. Editors. Teaching
about Social Networks. A Collection of Syllabi, Assignments, and
Other Resources. Washington, D.C.: American Sociological
Association. 251 pages.
The materials that were published in this volume have been digitally
incorporated into the TRAILS collection.
The idea of TRAILS is to provide useful and readily accessible
resources to those teaching in areas like social network analysis
(and other topics in sociology).
Materials are peer reviewed, and then digitally published. One
objective of the initiative is to have a relatively short time
period between initial submission and publication.
FYI, the first two new resources in the social networks area were
recently published by Alexandra Marin:
• Personal Networks.
• Social Network Research Project using Collaborative Data
If you are interested in TRAILS, please feel free to talk to me at
the Sunbelt Conference, or to send an e-mail to me.
Department of Sociology
University of British Columbia
E-mail: [log in to unmask]
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