Print

Print


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

Dear Group Members,

Once again thank you for your inputs. Below I summarized the responses.

*What to look for when investigating longitudinal co-authorship networks?*

One may look for or use:


   - "partitions to slice and dice the data and track changes over time.”
   (suggested by Dr. John McCreery)—more details can be found here:
   http://www.slideshare.net/jlmccreery
   -  “Betweenness centralization, Fragmentation coefficient, Triad count
   or simmellian ties, changes in reciprocal ties as both a percentage and
   total amount (for directed networks), and specialization and cognitive
   demand (for meta networks—more than just people to people network).”
   (suggested Dr. Ian McCulloh)
   - "the latent dimensions of the vector space using factor analysis of
   the (asymmetrical) documents/authors matrix or community finding algorithms
   in the coauthor matrices (Blondel).” (suggested by Prof. Loet Leydesdorff)
   - “how, over time, the network develops -- includes people from various
   universities/countries/sub-disciplines... maybe measure
   increasing/decreasing diversity/homophily over time?” (suggested  by Dr.
   Valdis Krebs)
   - One can also include measures, such as citation received, number of
   new players added (e.g., authors, countries, and institutions), structure
   holes, and new knowledge created (e.g., emerging themes and topics) (this
   is my opinion).
   - However, in a off list discussion with Prof. Barry, we tend to agree
   that the question of effective-efficient co-authorship network needs to be
   discussed further. What an effective-efficient co-authorship network means?

*How to slice and dice the network?*

From the responses it seem that you can slice and dice data the way you
like. It can be year by year, every four year, every five year, or every 10
years (it may depend on your research settings).

*Resources/studies suggested*

Howard D. White, Nancy Nazer, and Barry Wellman (2004) "Does Citation
Reflect Social Structure? Longitudinal Evidence from the 'Globenet'
Interdisciplinary Reserach Group", [Journal of the American Society for
Information Science and Technology 55, 2 (January 2004): 111-26.]
http://homes.chass.utoronto.ca/~wellman/publications/citation/jasist_55(2)_pp111-126.pdf

Loet Leydesdorff, Robert L. Goldstone, Interdisciplinarity at the Journal
and Specialty Level: The changing knowledge bases of the journal Cognitive
Science. Link: http://arxiv.org/abs/1212.0823

Trier, M. & Molka-Danielsen, J. (2013). Sympathy or strategy: social
capital drivers for collaborative contributions to the IS community.
European Journal of Information Systems, 22(3), 317-335. Link:
http://dx.doi.org/10.1057/ejis.2012.27

A comparison of time periods and a related video of the dynamic evolution of
the network: http://www.commetrix.net/irisnetwork

SNA tool Commetrix: commetrix.net



Regards,

-- 

Khan, Gohar Feroz (PhD)
Assistant Professor
Korea University of Technology & Education (KoreaTECH)
1600 Chungjol-ro Byungcheon-myun
Cheonan city, 330-708, South Korea
Office: 82-41-560-1415; Mobile: +82-10-5510-8071
email: [log in to unmask]
-------------------------------------------------------

Director Center for Social Technologies
Associate Editor Journal of Contemporary Eastern Asia
I blog here

---------------------------------------------------------------------

_____________________________________________________________________
SOCNET is a service of INSNA, the professional association for social
network researchers (http://www.insna.org). To unsubscribe, send
an email message to [log in to unmask] containing the line
UNSUBSCRIBE SOCNET in the body of the message.