| Member Profile : Steve Borgatti |
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 | Contact Information | Address: -Map Me-
Steve Borgatti
U of Kentucky, Management
309 Stonegate Dr
Nicholasville, KY, United States 40356
Phone : 978 394 2787
E-mail : steve.borgatti@gmail.com
Website : http://www.steveborgatti.com
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| | | Software & Data | | Active Calendar Listings |
| NetDraw software for visualization and analysis of social networks -- FREE | (Software) |
| NetDraw is a free program written by Steve Borgatti for visualizing both 1-mode and 2-mode social network data. It can handle multiple relations at the same time, and can use node attributes to set colors, shapes, and sizes of nodes. Pictures can be saved in metafile, jpg, gif and bitmap formats. The program reads UCINET system files, UCINET DL files, Pajek files, and its own VNA format (which allows saving network and attribute data together, along with layout information like spatial coordinates, colors, etc.). IMPORTANT: If you format data as a VNA file, NETDRAW can handle *very* large files. For example, sparse networks of 3500 nodes are very practical on a machine with 1GB of RAM (more is better). 10,000 nodes works fine with 2GB of RAM (assuming it is very sparse, of course). |
| UCINET Software for Social Network Analysis | (Software) |
A comprehensive package for the analysis of social network data as well as other 1-mode and 2-mode data. Can read and write a multitude of differently formatted text files, as well as Excel files. Can handle a maximum of 32,767 nodes (with some exceptions) although practically speaking many procedures get too slow around 5,000 - 10,000 nodes. Social network analysis methods include centrality measures, subgroup identification, role analysis, elementary graph theory, and permutation-based statistical analysis. In addition, the package has strong matrix analysis routines, such as matrix algebra and multivariate statistics.
Integrated with UCINET is the NetDraw program for drawing diagrams of social networks. In addition, the program can export data to Mage and Pajek. |
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| | | Network Graduate Programs | | Network Courses |
| U of Kentucky | Department of Management |
| LINKS Center for organizational social network analysis |
| The Management Department at the University of Kentucky focuses on social networks, both in terms of faculty research and in terms of the Ph.D. program. In addition, we run the LINKS center for organizational social network analysis. The LINKS center sponsors research, puts on yearly workshops, runs an annual conference (ION), and sponsors talks and best-paper awards. |
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| LINKS Center workshop on Social Network Analysis | | University of Kentucky LINKS Center, Department of Management |
Summer Workshop on Social Network Analysis
University of Kentucky LINKS Center
June 1-5, 2009
Each summer, the LINKS Center at the University of Kentucky offers a week-long workshop on social network analysis. The workshop features multiple sessions, some of which run concurrently. This year, we will offer the following sessions:
Jun 1 Refresher on Graph Theory and Matrix Algebra. Taught by Borgatti, DeJordy & Halgin
Jun 2-4 Introduction to Social Network Analysis. Taught by DeJordy & Halgin
Jun 2-4 Stochastic Modeling (ERGM & SIENA). Taught by Steglich
Jun 5 Advanced Network Analysis techniques. Taught by Borgatti
Jun 5 Network Research Issues. Taught by Brass, Mehra, Labianca
The modules offer a mix of social network theory (e.g., strength of weak ties, embed-dedness, social capital), methodology (e.g., collecting network data), mathematical concepts (e.g., eigenvectors, ls-sets) and hands-on software training (e.g., UCINET, NetDraw, SIENA). The hallmark of our workshops is clarity of exposition.
The workshop is appropriate for faculty and graduate students, as well as practitioners in management, health and security fields. Last year we accepted 70 participants, about half of whom were PhD students. Students pay half price. The workshop is held on the University of Kentucky campus, June 1-5. The deadline for registration is May 15. A 20% discount is available for early registration (by April 15).
For more information, contact Steve Borgatti at sborgatti@uky.edu or visit our website at http://workshops.linkscenter.org. |
| Social Network Analysis | | U of Kentucky, Department of Management |
| This Ph.D. level course provides an introduction to the analysis of social networks. It is not a survey of social network research. The focus is on the theoretical concepts and methodology of social network analysis, both from a research and consulting perspective. Although technical in a certain sense, the course will not require any mathematical background. |
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| | | Jobs Posted | | Sunbelt Submissions |
Asst. Prof. of Management - Last Updated January 21, 2009
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| Sunbelt XXIX - March 10 to March 15, 2009 - Bahia Hotel | | Workshop : Introduction to the Analysis of Network Data via UCINET and NetDraw |
| A beginner’s tutorial on the concepts, methods and data analysis techniques of social network analysis. The course begins with a general introduction to the distinct goals and perspectives of network analysis, followed by a practical discussion of network data, covering issues of collection, validity, visualization, and mathematical/computer representation. We then take up the methods of detection and description of structural properties such as centrality, cohesion, subgroups, cores, roles, etc. Finally, we consider how to frame and test network hypotheses. An important element of this workshop is that all participants are given a demonstration version of UCINET 6 for Windows and the Netmap visualization software, which we use to provide hands-on experience analyzing real data using the techniques covered in the workshop. In order to participate fully in the workshop, participants should bring laptop computers so that they can run the analyses on their machines at the same time as they are being demonstrated by the instructors |
| SunBelt XXX - June 29 to July 04, 2010 - Riva del Garda Fierecongressi | | Abstract : A Network Theory of Life, the Universe and Everything: A Progress Report |
| In 2006, the Defense Threat Reduction Agency (DTRA) requested proposals for a grant to develop "a broad, generic, adaptable, flexible and modular theory of social networks that spans all relevant disciplines". In short, a network theory of everything. I took the challenge, not because I thought the goal was remotely possible (or even desirable) but because I thought it would be interesting and useful to see how and why the attempt would fail. As it turns out, the journey has been very interesting, and I now feel it is possible to describe network theory in a way that is far more generative and integrative than I, at least, expected. In this talk I try to outline this perspective. In addition, I comment on reactions to this project collected at last year’s Sunbelt conference. |
| Abstract : Some Thoughts on Analyzing Trajectories |
| A number of phenomena can be modeled as directed traversals of networks. For example, the careers of college coaches can be seen as trajectories through a graph in which the nodes are colleges and the edges are latent conduits for personnel transfers. Similarly, bookings of bands at convert venues can be seen as a walk through the venue space. In this paper we present some methods for visualizing and analyzing such trajectories. In some cases, the methods provide alternatives to conventional ways of analyzing 2-mode data. |
| Workshop : Advanced Social Network Analysis using UCINET Part 1 ONLY |
| This is a 1-day workshop for participants who already have some experience with network analysis, but would like to learn more. We cover advanced aspects of centrality, finding subgroups, and measuring equivalence. We also cover advanced techniques for analyzing network change and handling multiple relations, missing data, non-symmetric data, valued data and 2-mode data. Throughout, we demonstrate powerful, sometimes-undocumented features of UCINET and NETDRAW, including convenient ways of entering non-standard data. Note: what makes this workshop “advanced” is the selection of topics, not the speed or complexity of the exposition. In other words, wherever practical, all concepts are explained from first principles, making as few assumptions about prior knowledge as possible. However, we do assume basic familiarity with UCINET as a pre-requisite for the workshop. |
| Workshop : Advanced Social Network Analysis using UCINET Part 2 ONLY |
| This is a 1-day workshop for participants who already have some experience with network analysis, but would like to learn more. We cover advanced aspects of centrality, finding subgroups, and measuring equivalence. We also cover advanced techniques for analyzing network change and handling multiple relations, missing data, non-symmetric data, valued data and 2-mode data. Throughout, we demonstrate powerful, sometimes-undocumented features of UCINET and NETDRAW, including convenient ways of entering non-standard data. Note: what makes this workshop “advanced” is the selection of topics, not the speed or complexity of the exposition. In other words, wherever practical, all concepts are explained from first principles, making as few assumptions about prior knowledge as possible. However, we do assume basic familiarity with UCINET as a pre-requisite for the workshop. |
| Workshop : Advanced Social Network Analysis using UCINET Parts 1 & 2 |
| This is a 1-day workshop for participants who already have some experience with network analysis, but would like to learn more. We cover advanced aspects of centrality, finding subgroups, and measuring equivalence. We also cover advanced techniques for analyzing network change and handling multiple relations, missing data, non-symmetric data, valued data and 2-mode data. Throughout, we demonstrate powerful, sometimes-undocumented features of UCINET and NETDRAW, including convenient ways of entering non-standard data. Note: what makes this workshop “advanced” is the selection of topics, not the speed or complexity of the exposition. In other words, wherever practical, all concepts are explained from first principles, making as few assumptions about prior knowledge as possible. However, we do assume basic familiarity with UCINET as a pre-requisite for the workshop. |
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