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Abstract: Actor-oriented models are proposed for the statistical analysis of longitudinal social network data. These models are implemented as simulation models, and the statistical evaluation is based on the method of moments and the Robbins-Monro process applied to computer simulation outcomes. In this approach, the calculations that are required for statistical inference are too complex to be carried out analytically, and therefore they are replaced by computer simulation. The statistical models are... (Update)
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BibTeX entry: (Update)
Snijders, T.A.B., and M.A.J. Van Duijn. 1997. Simulation for statistical inference in dynamic network models. Pp. 493 -- 512 in Simulating Social Phenomena, edited by Conte, R., R. Hegselmann, and P. Terna. Berlin: Springer. http://citeseer.ist.psu.edu/snijders97simulation.html More
@misc{ snijders97simulation,
author = "T. Snijders",
title = "Simulation for statistical inference in dynamic network models",
text = "Snijders, T.A.B., and M.A.J. Van Duijn. 1997. Simulation for statistical
inference in dynamic network models. Pp. 493 -- 512 in Simulating Social
Phenomena, edited by Conte, R., R. Hegselmann, and P. Terna. Berlin: Springer.",
year = "1997",
url = "citeseer.ist.psu.edu/snijders97simulation.html" }
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1 Methods for longitudinal social network data (context) - Snijders - 1995
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1 Stochastic actor-oriented models for network change (context) - Statistics, Multivariate et al. - 1996
1 Friendship networks and rational choice (context) - Mathematical, -- et al. - 1995
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1 Parties and networks: stochastic models for relationship net.. (context) - Cambridge, Mayer - 1984
1 Social Network Analysis: Methods and Applications (context) - the, Association et al. - 1994
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