Dear Prof. Bonachic, Few papers on how to handle missinga data in social network research: Huisman, M. (2009): Effects of missing data in social networks. Journal of Social Structure, 10. Available at: http://www.cmu.edu/joss/content/articles/volume10/huisman.pdf. Huisman, M. and Steglich, C. (2008): Treatment of non-response in longitudinal network studies. Social networks, 30, 297-308. Žnidaršič, A, , Ferligoj A., and Doreian P.Non-response in social networks: The impact of different non-response treatments on the stability of blockmodels .Social Networks 34 (4), 438-450 Žnidaršič, A., Doreian, P., and, Ferligoj A. Absent Ties in Social Networks, their Treatments, and Blockmodeling Outcomes. Advances in Methodology & Statistics/Metodoloski zvezki 9 (2). Available at: www.stat-d.si/mz/mz9.1/znidarsic1.pdf Best, Anja Znidarsic Assistant Professor of Quantitative Methods University of Maribor, Slovenia From: Phillip Bonacich <[log in to unmask]> To: [log in to unmask] Date: 17.04.2014 23:14 Subject: [SOCNET] miissing data in networks Sent by: Social Networks Discussion Forum <[log in to unmask]> ***** To join INSNA, visit http://www.insna.org ***** Hi. I’m looking for articles on how to handle missing data in network research. How should network measures be modified? What good ways are there of imputing values for the missing data? Thanks in advance. Phillip Bonacich Professor Emeritus of Sociology University of California, Los Angeles _____________________________________________________________________ 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.