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Proceedings of a Workshop on Statistics on Networks (2007)
Board on Mathematical Sciences and Their Applications (BMSA)

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. "Dependency Networks for Relational Data--David Jensen, University of Massachusetts." Proceedings of a Workshop on Statistics on Networks. Washington, DC: The National Academies Press, 2007.

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Proceedings of a Workshop on Statistics on Networks

largest regulator of securities brokers; and they are essentially detailed by the Securities and Exchange Commission to regulate the market in much the same way as the American Bar Association and the AMA regulate their particular areas. Some background on the NASD is included in Figure 1. The particular interest that they had was to try to predict fraud, and to focus their examinations for fraud by accounting for the fact that fraud is a social phenomenon. They particularly came to us because we were involved in doing this kind of work, but we’re taking into account the context, the relations between either people or Web pages or other things.

NASD has a large dataset, and Figure 2 is a rough schema of the data. Intriguingly, this is data that you can access online a single record at a time. We have the entire database, but you can access records on your particular stockbroker if you are interested in finding out if they have engaged in questionable conduct prior to you working with them. The website is http://www.nasdbrokercheck.com.

FIGURE 2

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Front Matter (R1-R10)
Keynote Address, Day 1 Network Complexity and Robustness--John Doyle, California Institute of Technology (1-61)
Neurons, Networks, and Noise: An Introduction--Nancy Kopell, Boston University (62-73)
Mixing Patterns and Community Structure in Networks--Mark Newman, University of Michigan and Santa Fe Institute (74-119)
Dynamic Networks--Embedded Networked Sensing (Redux?)--Deborah Estrin, University of California at Los Angeles (120-168)
Dynamic Network Analysis in Counterterrorism Research--Kathleen Carley, Carnegie Mellon University (169-187)
Data and Measurement--Current Developments in a Cortically Controlled Brain-Machine Interface--Nicho Hatsopoulos, University of Chicago (188-206)
Some Implications of Path-Based Sampling on the Internet--Eric D. Kolaczyk, Boston University (207-225)
Network Data and Models--Martina Morris, University of Washington (226-253)
The State of the Art in Social Network Analysis--Stephen P. Borgatti, Boston College (254-269)
Keynote Address, Day 2--Variability, Homeostasis per Contents and Compensation in Rhythmic Motor Networks--Eve Marder, Brandeis University (270-291)
Dynamics and Resilience of Blood Flow in Cortical Microvessels--David Kleinfeld, University of California at San Diego (292-316)
Robustness and Fragility--Jean M. Carlson, University of California at Santa Barbara (317-342)
Stability and Degeneracy of Network Models--Mark S. Handcock, University of Washington (343-374)
Visualization and Scalability--Characterizing Brain Networks with Granger Causality--Mingzhou Ding, University of Florida (375-395)
Visualization and Variation: Tracking Complex Networks Across Time and Space--Jon Kleinberg, Cornell University (396-424)
Dependency Networks for Relational Data--David Jensen, University of Massachusetts (425-449)
Appendix A Workshop Agenda and List of Attendees (450-454)
Appendix B Biographical Sketches of Workshop Speakers (455-460)