***** To join INSNA, visit http://www.insna.org ***** Daniela 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. - Tom Daniele Mascia wrote: >***** To join INSNA, visit http://www.insna.org ***** > >Dear Socnetters, >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. > >Best regards, > >Daniele Mascia >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: http://www.oup-usa.org/isbn/0195141768.html My personal webpage: http://www-hsc.usc.edu/~tvalente/ --- Thomas W. Valente, PhD Director, Master of Public Health Program http://www.usc.edu/medicine/mph/ 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.