2007年暑期動態社會網絡方法讀書會

研讀要旨:與Tom Snijders學術合作前之基礎準備
研讀地點: 中研院社會所8樓820會議室
指導教授:吳齊殷老師、謝雨生老師、楊雪華老師
研讀成員:對社會網絡研究有興趣之博、碩士生
研讀時間:2007年8月2日至 9月27日
Snijders15 (p368#8)

Snijders15 (p368#5)

Network Dynamics/Markov Modelsa (8/2、8/9)

2007/08/02 video1(15:00-16:00) video2(16:05-16:45)
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Snijders, T.A.B., Methods for Longitudinal Social Network Data: Review and Markov Process Models. In: New Trends in Probability and Statistics. Vol 3. Multivariate Statistics and Matrices in Statistics. Proceedings of the 5th Tartu Conference, TEV Vilnius, Lithuana, 1995, 211-227.
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Snijders, T.A.B., 2006. Statistical Methods for Network Dynamics. In: S.R. Luchini et al. (eds.), Proceedings of the XLIII Scientific Meeting, Italian Statistical Society, pp. 281-296. Padova: CLEUP.
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Snijders, T.A.B., The statistical evaluation of social network dynamics. M.E. Sobel and M.P. Becker (eds.), Sociological Methodology-2001, 361-395. Boston and London: Basil Blackwell.

2007/08/10 video1(14:45-15:45) video2(15:50-16:30)
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Schweinberger, Michael and Tom A.B. Snijders. Markov models for digraph panel data: Monte Carlo-based derivative estimation. Computational Statistics and Data Analysis, 51 (2007), 4465-4483.
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Schweinberger, Michael, and Snijders, Tom A.B. Settings in Social Networks: A Measurement Model. R. Stoltzenberg (ed.), Sociological Methodology-2003, 307-341. Boston and London: Basil Blackwell.

P family:p2/P*(exponential random graph model)(8/16、8/23)

2007/08/16video1(14:45-15:45) video2(15:50-16:30)
翁仲毅同學 介紹 Markov Chain
•謝雨生老師 介紹 Bayesian 估計

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Huisman, Mark, and Snijders, Tom A.B. Statistical analysis of longitudinal network data with changing composition. Sociological Methods & Research, 32 (2003), 253-287.
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Lubbers, Miranda J., and Tom A.B. Snijders, A comparison of various specifications of the Exponential Random Graph Model: A reanalysis of 102 student networks in school classes. Social Networks (2007), accepted for publication.
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Robins, G.L., Snijders, T.A.B., Wang, P., Handcock, M., and Pattison, P. Recent developments in exponential random graph (p*) models for social networks. Social Networks (2007), 192-215.
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Tom A.B. Snijders, Philippa E. Pattison, Garry L. Robins, and Mark S. Handcock. New specifications for exponential random graph models. Sociological Methodology (2006), 99-153.

2007/08/23
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Snijders, Tom A.B., and van Duijn, Marijtje A.J. Conditional Maximum Likelihood Estimation under Various Specifications of Exponential Random Graph Models. Pp. 117-134 in Jan Hagberg (ed.), Contributions to Social Network Analysis, Information Theory, and Other Topics in Statistics; A Festschrift in honour of Ove Frank. University of Stockholm, Department of Statistics, 2002.
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Snijders, Tom A.B, Markov Chain Monte Carlo Estimation of Exponential Random Graph Models. Journal of Social Structure. 3.2 (April 19, 2002).

Stochastic actor-driven models for network dynamics(8/30、9/6、9/13)

2007/08/30
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Snijders, Tom A.B. Explained variation in dynamic network models. Math聱athiques et Sciences Humaines / Mathematics and Social Sciences, 42 (n° 168), (2004), 31-41.
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Van De Bunt, G.G., Van Duijn, M.A.J., and Snijders, T.A.B., Friendship networks through time: An actor-oriented dynamic statistical network model. Computational and Mathematical Organization Theory, 5 (1999), 167-192.
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Snijders, T.A.B., Stochastic actor-oriented models for network change. Journal of Mathematical Sociology, 21 (1996), 149-172. (also appeared as book chapter in Doreian and Stokman, 1997.)

2007/09/06video1;video2
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Snijders, T. A. B., Steglich, C., & Schweinberger, M. Modeling the co-evolution of networks and behavior. In K. van Montfort, H. Oud & A. Satorra (Eds.), Longitudinal models in the behavioral and related sciences, p. 41-71. Mahwah, NJ: Lawrence Erlbaum (2007).
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Snijders, Tom A.B, Accounting for degree distributions in empirical analysis of network dynamics. Pp. 146-161 in: R. Breiger, K. Carley, and P. Pattison (eds.), Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers. National Research Council, National Academy of Sciences USA. Washington, DC: The National Academies Press, 2003.
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Steglich, Christian E.G., Snijders, Tom A.B. Dynamic Network and Behavior: Separating Selection from Influence. Working paper.

2007/09/13
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Snijders, T.A.B., Van Duijn, M.A.J., Simulation for statistical inference in dynamic network models. In: Conte, R., Hegselmann, R., Terna, P., (Eds.), Simulating Social Phenomena, Berlin: Springer,1997, 493-512.
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Snijders, Tom A.B. Models for Longitudinal Network Data. Chapter 11 in P. Carrington, J. Scott, & S. Wasserman (Eds.), Models and Methods in Social Network Analysis. New York: Cambridge University Press (2005), p. 215-247.
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Snijders, T.A.B., Nowicki, K., Estimation and Prediction for Stochastic Blockmodels for Graphs with Latent Block Structure, Journal of Classification, 14 (1997), 75-100.

Multilevel(9/20、9/27)

2007/09/20
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Snijders, T.A.B., Spreen, M. & Zwaagstra, R., The use of multilevel modelling for analysing personal networks (Networks of cocaine users in an urban area). Journal of Quantitative Anthropology, 5 (1995), 85-105.
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Snijders, Tom A.B, and Baerveldt, Chris, A Multilevel Network Study of the Effects of Delinquent Behavior on Friendship Evolution. Journal of Mathematical Sociology, 27 (2003),123-151.
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van Duijn, M.A.J., Snijders, T.A.B., & Zijlstra, B.H. p2 : a random effects model with covariates for directed graphs. Statistica Neerlandica 58 (2004), 234-254.

2007/09/27
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Zijlstra, Bonne J. H., van Duijn, Marijtje A. J., and Snijders, Tom A.B. Model selection in random effects models for directed graphs using approximated Bayes factors. Statistica Neerlandica 59 (2005), 107–118.
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Zijlstra, B.J.H., Duijn, M.A.J. van & Snijders, T.A.B. The multilevel p2 model – A random effects model for the analysis of multiple social networks. Methodology, 2 (2006), 42-47.
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Van Duijn, M.A.J., Van Busschbach, J., and Snijders, T.A.B., Multilevel analysis of personal networks as dependent variables, Social Networks, 21 (1999), 187-209.
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Snijders, T.A.B., & Baerveldt, C. A multi-level network study of the effects of delinquent behavior on friendship evolution. In A. Blokland, & P. Nieuwbeerta (Eds.), Developmental and life course studies in delinquency and crime. A review of contemporary Dutch research (pp. 261-281). The Hague: BJU Legal Publishers. (2006). (This is a reprint of Snijders & Baerveldt, 2003).

Software

SIENA
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Steglich, Christian E.G., Snijders, Tom A.B., and West, Patrick. Applying SIENA: An Illustrative Analysis of the Coevolution of Adolescents' Friendship Networks, Taste in Music, and Alcohol Consumption. Methodology, 2 (2006), 48-56.

Others
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Baerveldt, C. & Snijders, T.A.B., Influences on and from the segmentation of networks: hypotheses and tests. Social Networks, 16 (1994), 213-232.
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Snijders, T.A.B., The transition probabilities of the reciprocity model. Journal of Mathematical Sociology, 23 (1999), 241-253.