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:
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:

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]>

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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
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