Articles

Wasserman, S. (1977). Random directed graph distributions and the triad census in social networks. Journal of Mathematical Sociology, 5, 61–86.

Wasserman, S. (1977). A survey of mathematical models for graphs. Proceedings of the 1977 American Statistical Association Social Statistics Section, II, 860–864.

Leinhardt, S., & Wasserman, S. (1978). Quantitative methods for public management: An introductory course in statistics and data analysis. Policy Analysis, 4, 549–575.

Leinhardt, S., & Wasserman, S. (1978). Exploratory data analysis: An introduction to selected methods. In K. Schuessler (ed)., Sociological Methodology 1979, (pages 311–365). San Francisco: Jossey-Bass.

Wasserman, S. (1978). Models for binary directed graphs and their applications. Advances in Applied Probability, 10, 803–818.

Leinhardt, S., & Wasserman, S. (1979). Teaching regression: An exploratory approach. The American Statistician, 33, 196–203.

Wasserman, S. (1979). A stochastic model for directed graphs with transition rates determined by reciprocity. In K. Schuessler (ed)., Sociological Methodology 1980, (pages 392–412). San Francisco: Jossey-Bass.

Fienberg, S.E., & Wasserman, S. (1979). Categorical data analysis of directed graphs: Models for a single generator. Proceedings of the 1979 American Statistical Association Social Statistics Section, 407–412.

Vickers, Z.M., & Wasserman, S. (1979). Sensory qualities of food sounds based on individual perceptions. Journal of Texture Studies, 10, 319-332.

Fienberg, S.E., & Wasserman, S. (1980). Methods for the analysis of data from multivariate directed graphs. Proceedings of the Conference on Recent Developments in Statistical Methods and Applications, (pages 137–161). Taipei, Taiwan: Institute of Mathematics, Academia Sinica.

Runger, G., & Wasserman, S. (1980). Longitudinal analysis of friendship networks. Social Networks, 2, 143-154.

Wasserman, S. (1980). Analyzing social networks as stochastic processes. Journal of the American Statistical Association, 75, 280–294.

Fienberg, S.E., & Wasserman, S. (1981). Categorical data analysis of single sociometric relations. In S. Leinhardt (ed.), Sociological Methodology 1981, (pages 156–192). San Francisco: Jossey-Bass.

Fienberg, S.E., Meyer, M., & Wasserman, S. (1981). Analyzing data from multivariate directed graphs: An application to social networks. In V. Barnett (ed.), Interpreting Multivariate Data, (pages 289-306). London: John Wiley & Sons.

Fienberg, S.E., & Wasserman, S. (1981). Comment on ‘An exponential family of probability distributions for directed graphs’, by P. W. Holland and S. Leinhardt. Journal of the American Statistical Association, 76, 54-57.

Galaskiewicz, J., & Wasserman, S. (1981). A dynamic study of change in a regional corporate network. American Sociological Review, 46, 475-484.

Dressler, J., Thompson, P.N., & Wasserman, S. (1982). Effect of legal education upon perceptions of crime seriousness: A response to Rummel v. Estelle. Wayne Law Review, 28, 1247-1300.

Wasserman, S. (1983). Distinguishing between stochastic models of heterogeneity and contagion. Journal of Mathematical Psychology, 27, 201-215.

Wasserman, S., & Galaskiewicz, J. (1984). Some generalizations of p1: External constraints, interactions, and non-binary relations. Social Networks, 6, 177–192.

Baillargeon, R., Spelke, E., & Wasserman, S. (1985). Object permanence in the five-month-infant. Cognition, 20, 191–208.

Fienberg, S., Meyer, M., & Wasserman, S. (1985). Statistical analysis of multiple sociometric relations. Journal of the American Statistical Association, 80, 51–67.

Galaskiewicz, J., Wasserman, S., Rauschenbach, B., Bielefeld, W., & Mullaney, P. (1985). The influence of class, status, and market position on corporate interlocks in a regional network. Social Forces, 64, 403–431.

Wasserman, S., & Weaver, S. (1985). Statistical analysis of binary relational data: Parameter estimation. Journal of Mathematical Psychology, 29, 406–427.

Wasserman, S., & Iacobucci, D. (1986). Statistical analysis of discrete relational data. British Journal of Mathematical and Statistical Psychology, 39, 41–64.

Weaver, S. O., & Wasserman, S. (1986). RELTWO – Interactive loglinear model fitting for pairs of sociometric relations. Connections: Bulletin of the International Network for Social Network Analysis, 9, 38–46.

Iacobucci, D., & Wasserman, S. (1987). Dyadic social interactions. Psychological Bulletin, 102, 293–306.

Wasserman, S. (1987). Conformity of two sociometric relations. Psychometrika, 52, 3–18.

Wasserman, S., & Anderson, C. (1987). Stochastic a posteriori blockmodels: Construction and assessment. Social Networks, 9, 1–36.

Iacobucci, D., & Wasserman, S. (1988). A general framework for the statistical analysis of sequential dyadic interaction data. Psychological Bulletin, 103, 379–390.

Wasserman, S., & Iacobucci, D. (1988). Sequential social network data. Psychometrika, 53, 261–282.

Galaskiewicz., & Wasserman, S. (1989). Mimetic and normative processes within an interorganizational field: An empirical test. Administrative Science Quarterly, 34, 454–480.

Wasserman, S., & Bockenholt, U. (1989). Bootstrapping: Applications to psychophysiology. Psychophysiology (Invited paper), 26, 208–221.

Wasserman, S., & Faust, K. (1989). Canonical analysis of the composition and structure of social networks. In Clogg, C. (ed.) Sociological Methodology, 1989, (pages 1–42). Cambridge, MA: Basil Blackwell.

Galaskiewicz, J., & Wasserman, S. (1990). Social action models for the study of change in organizational fields. In Weesie, J., and H. Flap (eds.) Social Networks Through Time, (pages 1–30). Utrecht, Netherlands: University of Utrecht/ISOR Press.

Iacobucci, D., & Wasserman, S. (1990). Social networks with two sets of actors. Psychometrika, 55, 707–720.

Wasserman, S., Faust, K., & Galaskiewicz, J. (1990). Correspondence and canonical analysis of relational data. Journal of Mathematical Sociology, 15, 11–64.

Wasserman, S., & Davis, J.H. (1991). A methodology for comparing predictions from many models to few data. Quality and Quantity, 25, 189–209.  

Wasserman, S., & Iacobucci, D. (1991). Statistical modeling of one-mode and two-mode networks: Simultaneous analysis of graphs and bipartite graphs. British Journal of Mathematical and Statistical Psychology, 44, 13–44.

Anderson, C.J., Wasserman, S., & Faust, K. (1992). Building stochastic blockmodels. Social Networks (Invited Paper), 14, 137–161. Also reprinted in Scott, J. (ed). Social Networks: Critical Concepts in Sociology., Volume 2 (pages 227–247). London: Routledge.

Faust, K., & Wasserman, S. (1992a). Blockmodels: Interpretation and evaluation. Social Networks (Invited Paper), 14, 5–61.

Faust, K., & Wasserman, S. (1992b). Centrality and prestige: A review and synthesis. Journal of Quantitative Anthropology, 4, 23–78.

Faust, K., & Wasserman, S. (1993). Correlation and association models for studying measurements on ordinal relations. In Marsden, P.V. (ed.) Sociological Methodology, 1993, (pages 177–215). Cambridge, MA: Basil Blackwell.

Galaskiewicz, J., & Wasserman, S. (1993). Social Network Analysis: Concepts, methodology, and directions for the 90’s. Sociological Methods & Research (Invited Paper), 22, 3–22.

Walker, M., Wasserman, S., & Wellman, B. (1993). Statistical models for social support networks. Sociological Methods & Research (Invited Paper), 22, 71–98.

Galaskiewicz, J., & Wasserman, S. (1994). Advances in the social and behavioral sciences from social network analysis. In Wasserman, S., and Galaskiewicz, J. (eds.) Advances in Social Network Analysis: Research from the Social and Behavioral Sciences, (pages xi–xvii). Newbury Park, CA: Sage Publications.

Koehly, L., & Wasserman, S. (1994). STOCENT and STOCENTD: Stochastic centrality and prestige for actors in a social network. Connections: Bulletin of the International Network for Social Network Analysis, 17, 35-44.

Wasserman, S. (1994). Discussion of “Epidemics: Models and Data”, by Mollison, D., Isham, V., and Grenfell, B. Journal of the Royal Statistical Society, Series A (Invited Paper), 157, 144.

Anderson, C. J., & Wasserman, S. (1995). Log multiplicative models for valued social relations. Sociological Methods & Research (Invited Paper), 24,

96–127.

Pattison, P.E., & Wasserman, S. (1995). Constructing algebraic models for local social networks using statistical methods. Journal of Mathematical Psychology, 39, 57–72.

Koehly, L., & Wasserman, S. (1996). Classification of actors in a social network based on stochastic centrality and prestige. Journal of Quantitative Anthropology, 6, 75–99.

Wasserman, S., & Pattison, P.E. (1996). Logit models and logistic regressions for social networks: I. An introduction to Markov random graphs and p . Psychometrika, 60, 401–425.

Wasserman, S. (1997). Nominal data. In Armitage, P., and Colton, T. (eds.), Encyclopedia of Biostatistics, Volume 4, 3001–3003. Chichester, UK: John Wiley & Sons.

Althoff, R., Cohen, N.J., McConkie, G., Wasserman, S., Maciukenas, M., Azen, R., & Romine, L. (1998). Eye movement–based memory assessment. In Becker, W., Deubel, H., and Mergner, T. (eds). Current Oculomotor Research: Physiological and Psychological Aspects, pages 293–302. New York: Plenum Publishers.

Crouch, B., Wasserman, S., & Contractor, N. (1998). A practical guide to fitting p* social network models via logistic regression. Connections, 21, 87–101.

Heald, M., Contractor, N., Koehly, L., & Wasserman, S. (1998). Personal and emergent predictors of coworkers’ perceptual congruence on an organization’s social structure. Human Communication Research, 24, 536–563.

Anderson, C.J., Wasserman, S., & Crouch, B. (1999). A p* primer: Logit models for social networks. Social Networks, 21, 37–66.

Pattison, P.E., & Wasserman, S. (1999). Logit models and logistic regressions for social networks: II. Multivariate relations. British Journal of Mathematical and Statistical Psychology, 52, 169–193.

Robins, G., Pattison, P.E., & Wasserman, S. (1999). Logit models and logistic regressions for social networks: III. Valued relations. Psychometrika, 64, 371–394.

Pattison, P.E., Wasserman, S., Robins, G., & Kanfer, A.M. (2000). Statistical evaluation of algebraic constraints for social networks. Journal of Mathematical Psychology, 44, 536—568.

Wasserman, S., & Pattison, P.E. (2000). Statistical models for social networks. In Kiers, H., Rasson, J.-P., Groenen, P.J.F., and Schader, M. (eds.) Data Analysis, Classification, and Related Methods: Proceedings of the 7th Conference of the International Federation of Classification Societies, pages 285–297. Heildelberg: Springer–Verlag.

Wellman, B., & Wasserman, S. (2000). Social networks. In Kazdin. A. (ed.), Encyclopedia of Psychology, Volume 7, pages 351–353. New York: American Psychological Association and Oxford University Press.

Faber, A., & Wasserman, S. (2001). Social support and social networks: Synthesis and review. In Levy, J., and Pescosolido, B. (eds.) Social Networks and Health. Advances in Medical Sociology, 8, 29–72. Stamford, CT: JAI Press.

Pattison, P.E., & Wasserman, S. (2001). Social network models, statistical. In Smelser, N.J., and Baltes, P.B. (eds.) International Encyclopedia of the Social and Behavioral Sciences, pages 14375–14380. Oxford, UK: Pergamon.

Pattison, P., & Wasserman, S. (2002). Multivariate graph distributions: Applications to social networks. In Hagberg, J. (ed.) Contributions to Social Network Analysis, Information Theory, and Other Topics in Statistics: A Festschrift in Honor of Ove Frank on the Occasion of his 65th Birthday, pages 74–100. Stockholm: University of Stockholm Press.

Wasserman, S., & Pattison, P. (2003). Network analysis. In Lewis-Beck, M., Bryman, A., and Liao, T.F. (eds.) Encyclopedia of Social Science Research Methods, to appear. Oregon, OH: Sage Publications.

Wasserman, S. (2003). Multitheoretical, multilevel – and multianalytical: A Forward to Theories of Communication Networks. In Monge, P.R., and Contractor, N., Theories of Communication Networks, pages vii–x. New York: Oxford University Press.

Wasserman, S., & Steinley, D. (2003). Sensitivity Analysis of Network Data and Statistics. National Academy of Sciences Workshop on Dynamic Social Network Modeling and Analysis. Washington, DC: National Academies Press, 197–208.

Contractor, N., Wasserman, S., & Faust, K. (2004). Testing multi-theoretical multilevel hypotheses about organizational networks: An analytic framework and empirical example. Academy of Management Review, to appear.

Ho, R.M., Anderson, C.J., & Wasserman, S. (2004). Mixed effects p* model for multiple social networks. Proceedings of the American Statistical Association 2003 Annual Meeting, Social Statistics Section. To appear.

Parkhe, A., Wasserman, S., & Ralston, D. (2004). New frontiers in network theory development. Academy of Management Review, to appear.

Wasserman, S., & Robins, G. (2004). An introduction to random graphs, dependence graphs, and p . In Carrington, P.J., Scott, J., and Wasserman, S. (eds.), Models and Methods in Social Network Analysis. New York: Cambridge University Press.

Wasserman, S., Scott, J., & Carrington, P.J. (2004). Introduction. In Carrington, P.J., Scott, J., and Wasserman, S. (eds.), Models and Methods in Social Network Analysis. New York: Cambridge University Press.

Espelage, D., Fleisher, M., & Wasserman, S. (2005). Social networks and violent behavior. In Flannery, D.J., Vazsonyi, A., and Waldman, I. (eds). Cambridge Handbook of Violent Behavior. New York: Cambridge University Press.

Wasserman, S., Pattison, P., & Steinley, D. (2005). Social network analysis. In Everett, B. and Howell, D. (eds.) Encyclopedia of Statistics in the Behavioral Science, to appear. New York: Wiley.