| Member Profile : Carter Butts |
|
 | Contact Information | Address: -Map Me-
Carter Butts
University of California, Irvine, Department of Sociology and Institute for Mathematical Behavioral Sciences
SSPA 2145
University of California, Irvine
Irvine, CA, United States 92697-5100
Phone : (949) 824-8591
E-mail : buttsc@uci.edu
Website : http://www.faculty.uci.edu/profile.cfm?faculty_id=5057
|
| Bibliographic Information |
Butts, C. T. (2008). network: a Package for Managing Relational Data in R. Journal of Statistical Software, 24 (2).
Butts, C. T. (2008). Social Network Analysis with sna. Journal of Statistical Software, 24 (6).
Butts, C. T. (2008). Social Networks: A Methodological Introduction. Asian Journal of Social Psychology, 11 (1), 13-41
Butts, C. T. (2007). Comment on Mark S. Handcock, Adrian E. Raftery, and Jeremy M. Tantrum, ``Model-based Clustering for Social Networks''. Journal of the Royal Statistical Society, Series A, 170 (2), 333-333
Butts, C. T. (2007). Models for Generalized Location Systems. Sociological Methodology, 37 (1), 283-348
Butts, C. T. (2007). Permutation Models for Relational Data. Sociological Methodology, 37 (1), 257-281
Butts, C. T., Petrescu-Prahova, M. R., & Cross, B. R. (2007). Responder Communication Networks in the World Trade Center Disaster: Implications for Modeling of Communication Within Emergency Settings. Journal of Mathematical Sociology, 31 (2), 121-147
Butts, C. T. (2007). Review of Carrington, Peter J.; Scott, John; and Wasserman, Stanley (eds.), Models and Methods in Social Network Analysis, Cambridge, Cambridge University Press.. Social Networks, 29 (4), 603-608
Butts, C. T. (2007). Statistical Mechanical Models for Social Systems. Bejan, A.
. & Merkx, G., (Eds.). Constructal Theory of Social Dynamics ( ed.). (pp. 197-224) New York: Springer
Butts, C. T. & Carley,K. (2007). Structural Change and Homeostasis in Organizations: A Decision-Theoretic Approach. Journal of Mathematical Sociology, 31 (4), 295-321
Butts, C. T. (2006). Exact Bounds for Degree Centralization. Social Networks, 28 (4), 283-296
Butts, C. T. & Carley,K. (2005). Some Simple Algorithms for Structural Comparison. Computational and Mathematical Organization Theory, 11 (4), 291-305
Butts, C. T. & Pixley,J. (2004). A Structural Approach to the Representation of Life History Data. Journal of Mathematical Sociology, 28 (2), 81-124
Butts, C. T. & Hilgeman,C. (2003). Inferring Potential Memetic Structure from Cross-Sectional Data: An Application to American Religious Beliefs. Journal of Memetics - Evolutionary Models of Information Transmission, 7 (2)
Butts, C. T. (2003). Network Inference, Error, and Informant (In)Accuracy: A Bayesian Approach. Social Networks, 25 (2), 103-140
Butts, C. T. (2003). Predictability of Large-scale Spatially Embedded Networks. Breiger, R., Carley, K. M., & Pattison, P., (Eds.). Dynamic Social Network Modeling and Analysis: Workshop Summary and Papers ( ed.). (pp. 313-323) Washington, DC: National Academies Press
Butts, C. T. (2001). The Complexity of Social Networks: Theoretical and Empirical Findings. Social Networks, 23 (1), 31-71
Butts, C. T. (2000). An Axiomatic Approach to Network Complexity. Journal of Mathematical Sociology, 24 (4), 273-301
Fararo, T. J. & Butts,C. (1999). Advances in Generative Structuralism: Structured Agency and Multilevel Dynamics. Journal of Mathematical Sociology, 24 (1), 1-65
Anderson, B. S., Butts, C. M., & Carley, K. M. (1999). The Interaction of Size and Density with Graph Level Indices. Social Networks, 21 (3), 239-267
Butts, C. T. (1998). A Bayesian Model of Panic in Belief. Computational and Mathematical Organization Theory, 4 (4), 373-404
|
| | | Software & Data | | Active Calendar Listings |
| R Packages for Network Analysis | (Software) |
| This page contains information on various scripts and packages for the analysis of network (and other data) withi the R statistical computing system. This includes core packages such as sna and network, as well as more specialized libraries such as nettheory. See also the statnet project web site (http://statnetproject.org). |
| Statnet Project | (Software) |
statnet is a suite of software packages for network analysis that implement recent advances in the statistical modeling of networks. The analytic framework is based on Exponential family Random Graph Models (ergm). statnet provides a comprehensive framework for ergm-based network modeling, including tools for model estimation, model evaluation, model-based network simulation, and network visualization. This broad functionality is powered by a central Markov chain Monte Carlo (MCMC) algorithm.
statnet has a different purpose than the excellent packages UCINET or Pajek; the focus is on statistical modeling of network data. The statistical modeling capabilities of statnet include ERGMs, latent space and latent cluster models. The packages are written in a combination of (the open-source statistical language) R and (ANSI standard) C, and are called from the R command line. And because it runs in the R package (www.r-project.org), you also have access to the full functionality of R, including the packages "network" and "sna." statnet has a command line interface, not a GUI, with a syntax that resembles R. |
|
|
|
| | | Network Graduate Programs | | Network Courses |
| University of California, Irvine | Department of Department of Sociology |
| Program in Sociology, Social Network Specialization |
The University of California at Irvine is home to one of the premier research groups in the expanding field of social networks. With faculty in Sociology, Anthropology, Economics, Criminology, Law, and Society, Information and Computer Sciences, and the Graduate School of Management, UCI maintains a large and diverse community of network researchers with a wide range of substantive interests. The School of Social Sciences has had a Graduate Program in Social Networks for 20 years (it has granted 46 Ph.D.s since the mid 1980s). With an active community and numerous opportunities for research collaborations, UCI is an ideal place to study social networks.
The Sociology Department is a major hub of social network activity at UCI. We offer a unified program of graduate training in social networks, with a field specialization in the area and a core curriculum covering theoretical foundations, methodological approaches, and substantive applications. We also host a regular colloquium series and weekly network research meetings where graduate students and faculty discuss their on-going research projects. Graduate training in the field is supported by faculty in several departments and the Institute for Mathematical Behavioral Sciences.
Current social network research by faculty and graduate students covers a wide array of substantive topics, including: networks among responders to disasters; socio-spatial features of networks in high crime neighborhoods; effects of economic and social transformations on kinship and support networks in rural villages; social networks of immigrants; global city networks; international trade networks; and homophily in professional networks, to name a few. UCI served as the founding home to the flagship journal in the field, Social Networks, with Lin Freeman as editor. In recent years the social network group has hosted a number of special events including symposia, workshops, and co-sponsorship of international meetings (including the XXV International Sunbelt Social Network Conference, and the US/Japan Mathematical Sociology Conference). |
|
| Social Networks | | University of California, Irvine, Department of Sociology |
| Study of the causes and consequences of patterned interactions among social entities is the domain of the social network field. This course provides a hands-on introduction to some of the basic concepts and methods of network analysis, as well as a sampling of classic and modern research findings regarding the properties of social networks. By the end of this course, each student will have an understanding of the above topics, as well as experience with the collection and analysis of network data using modern computational tools. The course will culminate in a group research project, in which each student will be involved in the collection, analysis, and presentation of network data on a topic of their choosing. |
| Informant Accuracy | | University of California, Irvine, Department of Sociology |
| Ethnographic, archival, and survey research frequently depends upon individual accounts to reconstruct historical events, cultural conventions, past behavior, social structure, and the like. In such settings, the sources of these accounts (i.e., informants) act as the ``measurement devices'' through which the social scientist probes the system under study. While human informants can yield information which is difficult or impossible to obtain through alternate means, their accounts are subject to various kinds of error. Understanding the determinants of such error is thus of substantial importance in conducting informant-based research. This class surveys key findings from the literature on informant accuracy, and introduces a number of methods for estimating and reducing the impact of error on subsequent analyses. Specific applications examined include cultural domain analysis, the estimation of competency, and network inference. |
| Networks and Information Transmission | | University of California, Irvine, Department of Sociology |
| From its earliest beginnings, communication -- and, in particular, the flow of information -- has been one of the core themes of the social network field. This course provides an introduction to current and past research on communication and information transmission within interpersonal networks. Coverage anges from the micro-processes involved in information acquisition and recall to the macro-level phenomena of diffusion at the population level, with the meso-level process of local communication also being considered. Specific topics covered include cognitive and affective effects on communication, information corruption due to serial transmission, rumors and disasters, memetics, and information seeking behavior. Organizational and policy implications are also discussed. In addition to reviewing relevant literature, students in this class develop their own research projects relating to the course topic, and opportunities are provided to present this work to the class as a whole. |
| Networks and Organizations | | University of California, Irvine, Department of Sociology |
| Structural perspectives have long played a major role in the study of organizations, and organizational research has provided a corresponding impetus for the development of modern network analysis. This course will provide an introduction to some of the major areas of research at the intersection of these two fields. The approach taken is interdisciplinary, bringing together work in sociology, management science, organizational behavior, and economics; emphasis is on predictive (i.e., scientific) research, but some normative (i.e., engineering) issues will be considered as well. Specific topics covered include firm size, organizational design, diffusion and influence processes, competition, exchange processes, and organizational learning. In addition to reviewing relevant literature, students in this class develop their own research projects relating to the course topic, and opportunities are provided to present this work to the class as a whole. |
| Network Theory | | University of California, Irvine, Department of Sociology |
| This course provides an introduction to the basic principles and classic themes dominating theoretical work in the social network field. Specific topics covered include baseline network models, homophily and propinquity, theories of exchange and power, balance theory, models of diffusion and social influence, equivalence, and cohesion. The approach taken to the material is hands-on: homework assignments focus on the active use of theory to make specific predictions about social structures and processes. By the end of the class, each student should understand the basic concepts used to represent relational structure, should be familiar with several of the major theoretical programmes in the network field, and should be able to apply these theories to novel scientific problems. |
|
|
| | | Jobs Posted | | News Comments |
|
|
|
| | | Sunbelt Submissions | | Forum Participation |
|
| |
|
