***** To join INSNA, visit http://www.insna.org ***** Marcel:
You can easily extract 10 or so metrics (size, density, reciprocity, transitivity, clustering, centralization, etc) that you can compare over time. These measures, however, are treated in isolation. By using SIENA or PNET you model them jointly so you understand whether transitivity occurs (increased) given changes in lower order metrics such as density or reciprocity. In these programs there are many metrics and combinations of metrics to choose from. See the work of Thomas Snijders (Oxford) and Garry Robbins (University of Melbourne, Australia).
-Tom

Marcel Karnstedt wrote:
[log in to unmask]" type="cite">
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Tuugi,

maybe you already got off-list replies, anyhow... at least from a CS
perspective, Leskovec's work is quite interesting.

Specifically,

Graph Evolution: Densification and Shrinking Diameters by J. Leskovec,
J. Kleinberg, C. Faloutsos. ACM Transactions on Knowledge Discovery from
Data (TKDD), 1(1), 2007.

and his thesis (with enough references)

Dynamics of large networks by J. Leskovec. PhD Dissertation, Machine
Learning Department, Carnegie Mellon University, Technical report
CMU-ML-08-111, 2008.

Evolution of networks can be nicely analysed from a graph generation
pov, see this survey for a good overview:

Graph Mining: Laws, Generators, and Algorithms. Deepayen Chakrabarti,
Christos Faloutsos;


Hope that helps.


Marcel



Tugsjargal Chuluun wrote:
  
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Dear Colleagues,

 

I would like to learn more about measures and research works that
describe whole networks, especially the evolution of a network as a
whole.  Id be very grateful if you could direct me to some useful
references in this area.  Id like to document the characteristics of a
network of organizations in a certain industry and how it changed over time.

 

Thank you very much for your help.

 

Best,

Tuugi

 

 

Tuugi Chuluun
Assistant Professor of Finance
Sellinger School of Business and Management
Loyola University Maryland
4501 North Charles Street
Baltimore, MD 21210

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Digital Enterprise Research Institute (DERI) <http://www.deri.ie/>
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http://www.usc.edu/medicine/mph/
Department of  Preventive Medicine
Keck  School of Medicine
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