Below are the first 10 and last 10 pages of uncorrected machine-read text (when available) of this chapter, followed by the top 30 algorithmically extracted key phrases from the chapter as a whole.
Intended to provide our own search engines and external engines with highly rich, chapter-representative searchable text on the opening pages of each chapter. Because it is UNCORRECTED material, please consider the following text as a useful but insufficient proxy for the authoritative book pages.
Do not use for reproduction, copying, pasting, or reading; exclusively for search engines.
OCR for page 376
B Biographical Sketches WORKSHOP CHAIR Ronald L. Breiger is professor of sociology at the University of Arizona. His research is in the areas of social network analysis, stratification, mathematical models, theory, and measurement issues in cultural and institutional analysis. His Ph.D. is from Harvard University. A list of recent publications is available at www.u.arizona.edu/ breiger/. PRESENTERS Elisa Payne Bienenstock is a visiting assistant professor at the Department of Sociology at the University of California at Irvine. Her research integrates social networks with game theory and social psychology. Her current focus is on developing formal and experimental models of exchange processes and their relation to the emergence of power, status, inequality, conflict, cooperation, and coalition formation. She has a Ph.D. in sociology from the University of California, Los Angeles. A current vita is available at http://hypatia.ss.uci.edu/sociology/ Bienenstock/VitaWebOl . him. Stephen P. Borgatti is professor of organization studies at the Carroll School of Management at Boston College. His research focuses on social networks, most recently with application to knowledge flows in organizations. He has a Ph.D. in mathematical social science from the University of California, Irvine. A current vita is available at http://www. analytictech. com/borgatti. Carter T. Butts is assistant professor of sociology the University of California, Irvine. His current research focuses on methods for network measurement and comparison, spatial models of network structure, and decision- theoretic models of organizational change. He received his B.S. from Duke University and his Ph.D. from Carnegie Mellon University. A current vita and additional information are available on his Web page, at http:// hypatia. ss. uci. edu/sociology/Butts/buttsprof html. Kathleen M. Carley is a professor at the Institute for Software Research International in the School of Computer Science and director of the Center for Computational Analysis of Social and Organizational Systems at Carnegie Mellon University. Her research areas include computational social and organization theory; dynamic social networks; multiagent network models; group, organizational, and social adaptation and evolution; statistical 376
OCR for page 377
APPENDIX B 377 models for dynamic network analysis and evolution, computational text analysis, and the impact of telecommuni- cation technologies on communication and information diffusion within and among groups. She received an S.B. in political science and an S.B. in economics from Massachusetts Institute of Technology, and a Ph.D. in sociology from Harvard University. Her vita, papers, and abstracts can be found at http://hss.cmu.edu/departments/sds/ faculty/carley. html, http://www. epp. emu. edu/people/bios/carley. html, http://www. heinz. emu. edu/researchers/fac- ulty/carley.html). Noshir S. Contractor is professor of speech communication and psychology at the University of Illinois at Urbana-Champaign and a research affiliate at the Beckman Institute for Advanced Science and Technology. His research applies theories of complexity to communication and knowledge networks within and between organiza- tions. He has a B. Tech. (1983) in electrical engineering from the Indian Institute of Technology, Madras, and a Ph.D. (1987) in communication from the Annenberg School for Communication at the University of Southern California. For more information and publications, see http://www.uiuc.edu/ph~www/nosh. Christos Faloutsos is a professor at Carnegie Mellon University. His research interests include data mining for streams and networks, fractals, indexing methods for spatial and multimedia bases, and database performance. He has a Ph.D. in computer science from the University of Toronto, Canada. A current vita is at http://www.cs.cmu. edu/~christos/short-cv. txt. Noah E. Friedkin is professor of sociology at the University of California, Santa Barbara. His current research focuses on the development and application of social influence network theory. He received his B.A. in 1969 and Ph.D. in 1977 from the University of Chicago. A complete vita and selected reprints are available on his Web site: http://www. soc. ucsb. edu/faculty/friedkin/. Linton C. Freeman is a research professor of sociology in the Institute for Mathematical Behavioral Sciences and the Department of Sociology at the University of California, Irvine (UCI). He has taught at UCI for 24 years and has served as dean of the School of Social Sciences. His primary focus is in the area of social network analysis. His recent work has focused on graphic representations of network structure. His vita, including publications, is available online at http://moreno.ss.uci.edu/vita.html. Mark S. Handcock is a professor of statistics and sociology at the Center for Statistics and the Social Sciences, University of Washington, Seattle. His work focuses on the development of statistical models for the analysis of social network data, spatial processes and longitudinal data arising in labor economics. He received his B.Sc. from the University of Western Australia and his Ph.D. from the University of Chicago. His vita is available online at http://www. stat. Washington. edu/~handcock/. Peter D. Hoff is assistant professor of statistics and biostatistics and a member of the Center for Statistics and the Social Sciences at the University of Washington. His current research involves dyadic data, latent variable models, and nonparametric Bayesian methods. He has a Ph.D. in statistics from the University of Wisconsin, Madison. More information on his research can be obtained at http://www.stat.washington.edu/hoff. David ,Iensen is research assistant professor of Computer Science and Director of the Knowledge Discovery Laboratory at the University of Massachusetts, Amherst. His research focuses on machine learning, knowledge discovery, and data mining in large relational databases. He received his D.Sc. in engineering and policy from Washington University in St. Louis. A current vita is available at http://kdl.cs.umass.edu/people/jensen/. Jeffrey C. Johnson is a senior scientist at the Institute for Coastal and Marine Resources, professor in the Department of Sociology, and adjunct professor in the departments of Anthropology, Biology, and Biostatistics at East Carolina University. He received his Ph.D. in social science from the University of California, Irvine, and is
OCR for page 378
378 DYNAMIC SOCIAL NETWORK MODELING AND ANALYSIS currently interested in the evolution and stability of social networks and in network models of complex biological systems. A current vita is available at http://personal.ecu.edu/johnsonje/. Alden Klovdahl is a sociologist at the Australian National University in Canberra. He has a longstanding interest in the scientific study of large social networks in the real world, tools for more efficient processing of large amounts of network data, and harnessing the power of visual representations for analyses of complex networks. A focus of much of his research has been the spread of human pathogens and the design of more effective methods for infectious disease control. He received his Ph.D. in sociology from the University of Michigan, Ann Arbor. Contact information and a listing of publications can be found at http://arts.anu.edu.au/Arts/SSSchool/Sociology/ klovdahl.htm. David Lazer, assistant professor of public policy, teaches courses on management and executive branch politics. He is associate director of the National Center for Digital Government Research and Practice and co-chair of the Cambridge Colloquium on Complexity and Social Networks. He is currently completing an edited volume titled The Technology of Justice: DNA and the Criminal Justice System and is launching an NSF-funded project to study how a Web-based system might facilitate the sharing of information about this policy area (the dnapolicy.net initiative). He holds a Ph.D. in political science from the University of Michigan. A current vita, with papers, is available at www.ksg.harvard.edu/davidlazer. Michael W. Macy is professor and chair of sociology at Cornell University. His current research focuses on agent-based models of dynamic social networks, with application to diffusion of norms and beliefs. He has a Ph.D. in sociology from Harvard University. A current vita is available at http://www.people.cornell.edu/pages/mwml4/ Martina Morris is the Blumstein-Jordan Professor of Sociology and Statistics at the University of Washington. Her research focuses on social network epidemiology and methods, with a focus on HIV and STI transmission dynamics. She has an M.A. in statistics and a Ph.D. in sociology from the University of Chicago. A current vita is available at http://faculty. Washington. edu/morrism. Philippa (Pip) Pattison is a professor in the School of Behavioural Science at the University of Melbourne. Her current research focuses on mathematical models for social networks and network-based processes. She holds a Ph.D. in mathematical psychology from the University of Melbourne. William D. Richards is professor of communication at the Simon Fraser University in Burnaby, British Colum- bia. With Andrew Seary, Richards has been investigating spectral analysis and its application to large complex networks since 1988. They have developed the MultiNet program to make these analytic tools available for network researchers. He received his Ph.D. in communication research in 1976 from Stanford University. Infor- mation about his software and his research is available at http://www.sfu.ca/~richards and http://www.scu.ca/ Cessna. Andrew ,1. Seary is a research associate and Ph.D. graduate student at Simon Fraser University. His research topic is application of methods of mathematical physics to large networks, with emphasis on analysis and visual- ization. He has a B.Sc. in mathematical physics from McGill University, Montreal. He has over 25 years experience in applied mathematics and interactive graphical programming and has developed software for large networks that is freely available at http://www.sfu.ca/~richards. Tom A.B. Snijders is professor of methodology and statistics at the Department of Sociology of the University of Groningen, The Netherlands, and scientific director of the research and graduate school ICS (Interuniversity Center for Social Science Theory and Methodology). His main research interests are social network analysis and
OCR for page 379
APPENDIX B 379 multilevel analysis. He holds a Ph.D. in mathematical statistics from the University of Groningen. More informa- tion about his activities is available at http://stat.gamma.rug.nl/snijders/. H. Eugene Stanley is university professor and professor of physics at Boston University. His research focuses on complex systems in physics, biology, and social science, including a focus on complex networks. He has a Ph.D. in theoretical physics from Harvard University. A current vita for him is available at http://polymer.bu.edu/hes, which also includes pdf files of all his papers. Michael D. Ward is professor of political science at the University of Washington, Seattle, and holds a Chaire Municipale in the faculty of economics at the University of Pierre Mendes France in Grenoble, France. His research focuses on democratization and international conflict, with emphasis on political geography and econom- ics. He has a Ph.D. from Northwestern University. He may be reached at email@example.com. Stanley Wasserman is professor of psychology, statistics, and sociology at the University of Illinois, as well as professor in the Beckman Institute for Advanced Science and Technology at the university. His research focuses on social networks and applied statistics. He has a Ph.D. in statistics from Harvard University. A current vita is available at http://kentucky.psych.uiuc.edu, and a brief overview of his recent research can be found at http:// kentucky. psych. uiuc. edu/pstar. Harrison C. White is acting chair, Department of Sociology, and Giddings Professor of Sociology, Columbia University. One line of his current research melds economic sociology with mathematical modeling (Markets from Networks, Princeton University Press, 2002~; another meshes social network with discourse analyses. He has a Ph.D. in theoretical physics from the Massachusetts Institute of Technology and a Ph.D. in sociology from Princeton University. Planning Subcommittee Daniel R. Ilgen (Chair) is the John Hannah Professor of Psychology and Management at Michigan State Univer- sity. His background is in industrial/organizational psychology. His work focuses on work motivation, individual, and social perspectives and models of small group/team behavior, particularly team decision making. John M. Carroll is the director of the Center for Human-Computer Interaction, and a professor of computer science, education, and psychology at Virginia Polytechnic Institute in Blacksburg. He has researched human learning and problem-solving in human-computer interaction contexts for two decades. His long-term interests are in methods of remote collaboration and in team and organizational communications. Martha Grabowski, professor of management information systems at LeMoyne College and research professor at Rensselaer Polytechnic Institute, has expertise in management information systems, expert systems, decision support systems, telecommunications and networking, organizational impact of information technology, technol- ogy and organizational strategy, use of information systems for competitive advantage, and interface of technol- ogy with marketing and manufacturing.
OCR for page 380
Representative terms from entire chapter: