CASOS 2010 Summer Institute
June 7-13, 2010
Carnegie Mellon University, Pittsburgh, PA USA
Roberts Enginerring Hall, Singleton Room
- Social Network Analysis
- Dynamic Network Analysis (multi-mode, multi-network)
- Link analysis
- Network grouping techniques - Cliques, fuzzy groups, Newman-Girvan
- Unstructured text extraction to network representation, and analysis techniques
- Basic Approach to building and evaluating multi-agent simulation systems
- Simulation model validation and docking
- Hands-on introduction to CASOS tools: ORA, AutoMap, and Construct
- Kathleen M. Carley, PhD, Carnegie Mellon University, Director of CASOS
- Jeffrey Johnson, PhD, East Carolina University
The purpose of the CASOS Summer Institute is to provide an intense and hands-on introduction to dynamic network analysis and computational modeling of complex socio-technical systems. Both network analysis and multi-agent modeling will be covered. Participants will be able to complete the institute without programming skills or in-depth understanding of particular social theories. Computer programming and basic social or organizational theory are not included under the topics covered.
Participants learn about current trends, practices, and tools available for social networks analysis, link analysis, simulation, and multi-agent modeling. Basic social network and dynamic network representations, statistics, analysis and visualization techniques are covered. Techniques for designing, analyzing, and validating computational models with and without network components are presented. There is also an emphasis on appropriate and inappropriate ways to critique computational models and network analyses. The strengths and weaknesses of computational and network approaches to examining complex socio-technical issues are discussed. Multiple computational platforms are explored and hands-on experience are provided. An examination of social network methods, complexity theory and procedures for integrating network-based metrics and statistics into computational models completes the program.
The software tools students will learn and work with include: ORA, AutoMap, and Construct, which are network analysis, information extraction, and simulations tools, respectively, that are developed at CASOS and widely used globally in business, government, and education.
Students are encouraged to bring their own data and to learn to use the CASOS tools to code, analyze, reason about and visualize there data. Hands-on instruction and assistance will be provided on how to import data to ORA from CSV files, SQL databases, email servers, UCINET formats, PenLink, I2/Analyst Notebook and other raw data formats. Students will work through a tool chain where they extract networks from texts, analyze those networks, and the using simulation techniques evolve those networks.
The hands-on curriculum builds on both social network and computational analysis techniques, and illustrates how to use these techniques to study social, organizational and policy issues.
Topics Covered Include:
Participation is open to graduate students, faculty, and personnel from industry, education and government. Due to space restrictions we are limited in the number of participants, so register early.
- Graduate Students & Post-Docs: $680
- Faculty: $960
- Government and Industry: $1400
- Please note, we accept checks, VISA, MasterCard and American Express for payment. Please make checks out to Carnegie Mellon University. For all payments contact CASOS by email: casos[AT]cmu.edu, phone: 412-268-3163, or fax: 412-268-1744.
- Bring your own machine:
- You are strongly encouraged to bring your own laptop. However, you must have it up-to-date in terms of security features, and it must be registered. Please see the MAC Address registration link below.
- Warning: Please make sure that you laptop is running Windows XP. The software may not run properly under VISTA. If bringing a MAC OS laptop please load Windows as not all the software will run on a Mac OS.
- Bring your own data! The CASOS group invites you to bring your own data. If you do not have your own data, don't worry, we will provide some. Here are examples of types of data that you might want to bring:
Registration Fee (*):
* Inexpensive university-dorm lodging is also available, see "Where to stay?" below.
- Texts in .txt format that they want to run through AutoMap.
- Some type of relational data in DL, dynetml, csv, excel, or other standard network format. Data can also be in mysql or access if you know how to write queries to extract it.
Examples are: email messages, webpage content, paper abstracts, news articles, comment fields from fixed formatted files.
Restrictions: Put one message, page, abstract, article per file.
Put all files for same group or time period in a folder. Exclude pictures.
Examples are: who talks to whom, trade level between countries, semantic networks, event networks.
Restrictions: Look at CASOS tools web page for easy formats to read. If you have node by attribute data, such as for each person degree, age, position you can use that data to create relational data.
Make sure your machine is large enough for your data. You can have multiple networks. Each network can be in its own file, but need not be. If you are bringing your own machine, which we highly recommend, just bring your data on your machine.