Michael Brusco

Haywood & Betty Taylor Eminent Scholar in Business Administration
Michael Brusco
Faculty
Location
359 RBB
Phone
850-644-6512
Academic Specialty
Business Analytics
Education

Ph.D., Florida State University, 1990
MBA, Florida State University, 1986
BBA, Florida Atlantic University, 1985
A.A., Broward Community College, 1982

Areas of Expertise

Clustering
Scheduling
Linear ordering

Dr. Michael Brusco is the Haywood & Betty Taylor Eminent Scholar in Business Administration in the Department of Business Analytics, Information Systems and Supply Chain at Florida State University's College of Business. His academic specialty is operations management, and he teaches courses in the MBA and Master of Science in Business Analytics (MS-BA) programs. His research has been published in Behavior Research Methods, British Journal of Mathematical and Statistical Psychology, Journal of Abnormal Psychology, Journal of Mathematical Psychology, Multivariate Behavioral Research, Perception & Psychophysics, Psychological Methods, Psychometrika, Science, and other journals. He serves on the editorial review board of Psychological Methods and as an associate editor for the British Journal of Mathematical and Statistical Psychology.

He earned his bachelor's degree in marketing from Florida Atlantic University. His MBA and Ph.D. in business administration are both from Florida State University.

Selected Published Research

Brusco, M. J., Steinley, D., & Watts, A. L. (in press). A comparison of spectral clustering and the walktrap algorithm for community detection in network psychometrics. Psychological Methods.

Brusco, M. J., Watts, A. L., & Steinley, D. (in press). A modified approach to fitting relative importance networks. Psychological Methods.

Brusco, M. J., Steinley, D., & Watts, A. L. (2022). Disentangling relationships in symptom networks using matrix permutation methods. Psychometrika, 87 (1), 133-155.

Steinley, D., & Brusco, M. J. (2021). On fixed marginal distributions and psychometric network models. Multivariate Behavioral Research, 56 (2), 329-335.

Brusco, M. J., Davis-Stober, C. P., & Steinley, D. (2021). Ising formulations of some graph-theoretic problems in psychological research: models and methods. Journal of Mathematical Psychology102 (June), Article 102536.

Brusco, M., Doreian, P., & Steinley, D. (2021). Deterministic blockmodeling of signed and two-mode networks: a tutorial with psychological examples. British Journal of Mathematical and Statistical Psychology, 74 (1), 34-63.

Brusco, M. J., Steinley, D., Hoffman, M., Davis-Stober, C., & Wasserman, S. (2019). On Ising models and algorithms for the construction of symptom networks in psychopathology research. Psychological Methods, 24 (6), 735-753.

Brusco, M. J., & Doreian, P. (2019). Partitioning signed networks using relocation heuristics, tabu search, and variable neighborhood search. Social Networks, 56 (January), 70-80.

Hoffman, M., Steinley, D., Gates, K. M., Prinstein, M. J., & Brusco, M. J. (2018). Detecting clusters/communities in social networks. Multivariate Behavioral Research, 53 (1), 57-73.

Steinley, D., Hoffman, M., Brusco, M. J., & Sher, K. J. (2017). A method for making inferences in network analysis: Comment on Forbes, Wright, Markon, and Krueger (2017). Journal of Abnormal Psychology, 126 (7), 1000-1010.

Brusco, M., & Doreian, P. (2015). A real-coded genetic algorithm for two-mode KL-means partitioning with application to homogeneity blockmodeling. Social Networks, 41, 26-35.

Hoffman, M., Steinley, D., & Brusco, M. J. (2015). A note on using the adjusted Rand index for link prediction in networks. Social Networks, 42, 72-79.

Brusco, M., Doreian, P., Steinley, D., & Satornino, C. B. (2013). Multiobjective blockmodeling for social network analysis. Psychometrika, 78 (3), 498-525.

Brusco, M., Doreian, P., Lloyd, P., & Steinley, D. (2013). A variable neighborhood search method for a two-mode blockmodeling problem in social network analysis, Network Science, 1 (2), 191-212.

Brusco, M. J., & Steinley, D. (2011). A tabu search heuristic for deterministic two-mode blockmodeling of binary network matrices. Psychometrika, 76 (4), 612-633.

Brusco, M. J. (2011). An exact algorithm for a core/periphery bipartitioning problem. Social Networks, 33 (1), 12-19.

Brusco, M. J. (2011). Analysis of two-mode network matrices using nonnegative matrix factorization. Social Networks, 33 (3), 201-210.

Brusco, M., Doreian, P., Mrvar, A., & Steinley, D. (2011). Linking theory, models, and data to understand social network phenomena: Two algorithms for relaxed structural balance partitioning. Sociological Methods and Research, 40 (1), 57-87.

Brusco, M. J., & Steinley, D. (2010). K-balance partitioning: An exact method with application to generalized structural balance and other psychological contexts. Psychological Methods, 15 (2), 145-157.

Brusco, M. J., & Steinley, D. (2009). Integer programs for one- and two-mode blockmodeling based on prespecified image matrices for structural and regular equivalence. Journal of Mathematical Psychology, 53 (6), 577-585.