Predicting profitability using advice branch bank networks

Statistical Methodology

Volumn 7, Issue 3, 2010, Pages 429-444

  Sarkar, Avranil ^a   Fienberg, Stephen E ^a,b   Krackhardt, David ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b NONE   (United States)

Author keywords

Bootstrap; Centrality; Exponential random graph models; Hierarchical graph structure; Indegree; Outdegree; Regression models

Indexed keywords

EID: 77950916575     PISSN: 15723127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.stamet.2009.12.001     Document Type: Article

References (27)

1. Airoldi E.M., Blei D.M., Fienberg S.E., and Xing E.P. Mixed membership stochastic blockmodels. Journal of Machine Learning Research 9 (2008) 1823-1856
2. Albert R., and Barabási A. Statistical mechanics of social networks. Review of Modern Physics 74 (2002)
3. Barabási A.-L. Linked: The New Science of Networks (2002), Perseus, Cambridge, MA
4. Barabási A.-L., and Albert R. Emergence of scaling in random networks. Science 286 (1999) 509-512
5. Buchanan M. Nexus: Small Worlds and The Groundbreaking Science of Networks (2002), W.W. Norton, New York
6. Christakis N.A., and Fowler J.H. Connected: The Surprising Power of our Social Networks and How they Shape our Lives (2009), Little, Brown, and Co.
7. Cross R., and Parker A. The Hidden Power of Social Networks: Understanding How Work Really Gets Done in Organizations (2004), Harvard Business School Press
8. Dodds P.S., Muhamad R., and Watts D.J. An experimental study of search in global social networks. Science 301 (2003) 827-829
9. Durrett R. Random Graph Dynamics (2007), Cambridge University Press, New York
10. Fienberg S.E., Meyer M.M., and Wasserman S.S. Statistical analysis of multiple sociometric relations. Journal of the American Statistical Association 80 (1985) 51-67
11. Frank O., and Strauss D. Markov graphs. Journal of the American Statistical Association 81 (1986) 832-842
12. Freeman L.C. Centrality in social networks: Conceptual clarification. Social Networks 1 3 (1978) 215-239
13. A. Goldenberg, A. Zhang, S.E. Fienberg, E. Airoldi, A survey of statistical network models, Foundations and Trends in Machine Learning 2 (2) (2010) (in press)
14. M.S. Handcock, Assessing degeneracy in statistical models of social networks, Working paper No. 39, Center for Statistics and the Social Sciences, University of Washington, 2003
15. M.S. Handcock, D.R. Hunter, C.T. Butts, S.M. Goodreau, M. Morris, Statnet: Software tools for the statistical modeling of network data, Seattle, WA, Version 2.0, 2003, URL: http://statnetproject.org
16. Handcock M.S., Raftery A.E., and Tantrum J. Model-based clustering for social networks (with discussion). Journal of the Royal Statistical Society, Series A 170 (2007) 301-354
17. Holland P.W., and Leinhardt S. An exponential family of probability distributions for directed graphs (with discussion). Journal of the American Statistical Association 76 (1981) 33-65
18. Hunter D., and Handcock M.S. Inference in curved exponential family models for networks. Journal of Computational and Graphical Statistics 15 (2006) 565-583
19. Krackhardt D., and Brass D. Intra-organizational networks: The micro side. In: Wasserman S., and Galaskiewicz J. (Eds). Advances in the Social and Behavioral Sciences from Social Network Analysis (1994), Sage, Beverley Hills, CA 209-230
20. Loader C. Smoothing: Local Regression Techniques. Handbook of Computational Statistics: Concepts and Methods (2004), Springer-Verlag, Heidelberg 539-562
21. Newman M.E.J., Strogatz S.H., and Watts D.J. Random graphs with arbitrary degree distributions and their applications. Physics Review E 6402 026118 (2001)
22. Rinaldo A., Fienberg S.E., and Zhou Y. Maximum likelihood estimation in discrete exponential families with application to exponential random graph models. Electronic Journal of Statistics 3 (2009) 446-484
23. Strauss D., and Ikeda M. Pseudolikelihood estimation for social networks. Journal of the American Statistical Association 85 (1990) 204-212
24. Tosi H. Theories of Organization (2008), Sage, Thousand Oaks, CA
25. Watts D.J. Six Degrees: The Science of A Connected Age (2003), J.J. Norton, New York
26. Watts D.J. Small Worlds: The Dynamics of Networks Between Order and Randomness (1999), Princeton University Press, Princeton, NJ
27. Weisberg S. Applied Linear Regression. 3rd ed. (2005), Wiley, New York