***** To join INSNA, visit http://www.insna.org *****
There is little advantage in importing ego-centric data into UCINET or
Pajek since the networks will consist of isolated stars.
I suggest you use a standard statistical package (SAS, STATA, SPSS) and
analyze your data by calculating compositional and variance measures on
one-step neighborhood of the surveyed scientists. You can also convert
the data to a dyadic dataset and analyze the relations also in the
statistical package. For a good example see:
Marsden, P. V. (1987). Core discussion networks of Americans. American
Sociological Review, 52, 122-131.
Daniele Mascia wrote:
>***** To join INSNA, visit http://www.insna.org *****
>we are conducing an analysis centered on the ego-networks of scientists working in several international scientific institutions. Our idea is that of investigating structural characteristics of the one-step neighborhood of the surveyed scientists.
>To date, we have found a few articles explaining concepts and charateristics related to the ego-network, but we are still in search of materials about the methodology to be used to deal with ego-network data. In particular, given a set of ego-networks collected in spreadshit editors, we would like to know which format is reccomended for importing such data in one of the available software for network analysis (e.g. UCINET, Pajek...), and how to conduce relative analyses.
>Thanks in advance for any comments.
>Catholic University - Rome
>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.
To learn more about my evaluation book go to:
My personal webpage:
Thomas W. Valente, PhD
Director, Master of Public Health Program
Department of Preventive Medicine
School of Medicine
University of Southern California
1000 S. Fremont Ave.
Building A Room 5133
Alhambra CA 91803
phone: (626) 457-6678
fax: (626) 457-6699
email: [log in to unmask]
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.