Group based trajectories of network formation and dynamics

Social Networks

Volumn 34, Issue 4, 2012, Pages 506-514

  Hasan, Sharique ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

Dynamics; Longitudinal; Networks

Indexed keywords

EID: 84872409713     PISSN: 03788733     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.socnet.2012.04.001     Document Type: Article

References (34)

1. Bendersky C., Shah N. The cost of status enhancement: performance effects of individuals' status mobility in task groups. Organization Science 2010, p. Online first.
2. Burt R.S. Political disagreement: the survival of diverse opinions within communication networks. American Journal of Sociology 2006, 112(1):310-312.
3. Carley K.M., Krackhardt D. Cognitive inconsistencies and non-symmetric friendship. Social Networks 1996, 18(1):1-27.
4. Cartwright D., Harary F. Structural balance: a generalization of Heider's theory. Psychological Review 1956, 63(5):277-293.
5. Davis G., Carley K. Clearing the FOG: fuzzy, overlapping groups for social networks. Social Networks 2008, 30(3):201-212.
6. Dekker D., Krackhardt D., Snijders T.A.B. Sensitivity of MRQAP tests to collinearity and autocorrelation conditions. Psychometrika 2007, 72(4):563-581.
7. Doreian P., Kapuscinski R., Krackhardt D., Szczypula J. A brief history of balance through time. Journal of Mathematical Sociology 1996, 21(1-2):113-131.
8. Dumenci L., Windle M. Cluster analysis as a method of recovering types of intraindividual growth trajectories: a Monte Carlo study. Multivariate Behavioral Research 2001, 36(4):501-522.
9. Elder G. Life Course Dynamics: Trajectories and Transitions, 1968-1980 1985, Cornell University Press.
10. Freeman L. A set of measures of centrality based on betweenness. Sociometry 1977, 40(1):35-41.
11. Freeman L. Centrality in social networks: conceptual clarification. Social Networks 1979, 1(3):215-239.
12. Granovetter M. Strength of weak ties. American Journal of Sociology 1973, 78(6):1360-1380.
13. Hoff P., Raftery A., Handcock M. Latent space approaches to social network analysis. Journal of the American Statistical Association 2002, 97(460):1090-1098.
14. Huisman M. Imputation of missing network data: some simple procedures. Journal of Social Structure 2009, 10(1):1-29.
15. Ibarra H. Homophily and differential returns: sex-differences in network structure and access in an advertising firm. Administrative Science Quarterly 1992, 37(3):422-447.
16. Jones B., Nagin D., Roeder K. A SAS procedure based on mixture models for estimating developmental trajectories. Sociological Methods & Research 2001, 29(3):374.
17. Jones B.L., Nagin D.S. Advances in group-based trajectory modeling and an SAS procedure for estimating them. Sociological Methods & Research 2007, 35(4):542-571.
18. Kaufman L., Rousseeuw P. Finding Groups in Data: An Introduction to Cluster Analysis 1990, vol. 39. Wiley Online Library.
19. McPherson M., Smith-Lovin L., Cook J.M. Birds of a feather: homophily in social networks. Annual Reviews in Sociology 2001, 27(1):415-444.
20. Moody J., Brynildsen W.D., Osgood D.W., Feinberg M.E., Gest S. Popularity trajectories and substance use in early adolescence. Social Networks 2011, 33(2):101-112.
21. Muthen B. Second-generation structural equation modeling with a combination of categorical and continuous latent variables: new opportunities for latent class/latent curve modeling. New Methods of the Analysis of Change 2001, American Psychological Association.
22. Nagin D. Analyzing developmental trajectories: a semiparametric, group-based approach. Psychological Methods 1999, 4:139-157.
23. Nagin D. Group-based Modeling of Development 2005, Harvard University Press.
24. Nagin D., Tremblay R. Trajectories of boys' physical aggression, opposition, and hyperactivity on the path to physically violent and nonviolent juvenile delinquency. Child Development 1999, 70(5):1181-1196.
25. Newcomb T.M. The Acquaintance Process 1961, Holt, New York.
26. Robins G., Pattison P., Kalish Y., Lusher D. An introduction to exponential random graph (p*) models for social networks. Social Networks 2007, 29(2):173-191.
27. Snijders T. The statistical evaluation of social network dynamics. Sociological Methodology 2001, 31(1):361-395.
28. Snijders T. Models for longitudinal network data. Models and Methods in Social Network Analysis 2005, 215-247.
29. Snijders T., Van de Bunt G., Steglich C. Introduction to stochastic actor-based models for network dynamics. Social Networks 2010, 32(1):44-60.
30. Snijders T.A., Doreian P. Introduction to the special issue on network dynamics. Social Networks 2010, 32(1):1-3.
31. Van de Bunt G., Van Duijn M., Snijders T. Friendship networks through time: an actor-oriented dynamic statistical network model. Computational & Mathematical Organization Theory 1999, 5(2):167-192.
32. Vermunt J., Tran B., Magidson J. Latent class models in longitudinal research. Handbook of Longitudinal Research: Design, Measurement, and Analysis 2008, pp. 373-385.
33. White H., Boorman S., Breiger R. Social structure from multiple networks. I. Block models of roles and positions. American Journal of Sociology 1976, 81(4):730-780.
34. Zheng K., Padman R., Johnson M., Diamond H. Understanding technology adoption in clinical care: clinician adoption behavior of a point-of-care reminder system. International Journal of Medical Informatics 2005, 74(7-8):535-543.