International School of Information Management University of Mysore Workshop on Social Network Analysis April 7-9, 2010, Mysore Faculty: Prof. Kevin Crowston, School of Information Studies, Syracuse University ******** The Three days workshop on 'Social Network Analysis (SNA)' is organized by International School of Information Management (ISiM), University of Mysore during April 7-9, 2010. Context and relevance Social network analysis as a field of study is growing rapidly and in popularity. It is now evolving into a new paradigm across academia, business, industry, popular culture and folklore. It is both an approach and a tool to uncover and understand the hidden side of connections that drive certain phenomenon involving a network of human players. SNA is the technique of mapping and monitoring the relationships and flow of information/knowledge between individuals, teams, organizations, electronic devices, URLs and other interconnected entities. With the success of social networking tools like Facebook, Twitter, Myspace and Orkut with the masses, their influence on the group behavior and opinions are being increasingly felt every day. SNA has gained currency as an effective tool to study those invisible paths or lines that show the ties or links between people, organizations and phenomena themselves. It has been deployed to uncover and visualize hidden patterns in as diverse groups as academic communities to terrorists communities; as diverse phenomenon as correlating performance and creativity to who will be the next US president. SNA is since being perceived from being a suggestive metaphor to an analytic approach to a paradigm, with its own theoretical statements, methods, social network analysis software, and researchers. Workshop Objective . Introduce the audience to the goals and perspectives of network analysis. o Understanding of network data and issues related to collection, validity, visualization and mathematical/computer representation. o Methods of detection and description of structural properties such as centrality, cohesion, subgroups, cores, roles etc. . At the end of the course, the participants will be, o Able to examine data in 'social networks way' o Identify and formulate network analysis problems o Solve them using network analysis software and o Interpret the obtained results. Software tool used for analysis: Pajek - Program for Large Network Analysis Who should attend? Healthcare Professionals Social network analysis has been used in epidemiology to help understand how patterns of human contact aid or inhibit the spread of diseases such as HIV in a population. Information Managers The evolution of social networks can sometimes be modeled by the use of agent based models, providing insight into the interplay between communication rules, rumor spreading and social structure. Administrative Agencies SNA can also be an effective tool for mass surveillance - for example the analysis of social networks to determine whether or not a particular individual has criminal tendencies. Innovators/Change Managers Diffusion of innovations theory explores social networks and their role in influencing the spread of new ideas and practices. Change agents and opinion leaders often play major roles ispurring the adoption of innovations, although factors inherent to the innovations also play a role. Brand Managers It has been widely accepted that the social networking sites have tremendous influence on forming opinions about products/brand. An understanding of the nature and dynamics of social networking can be invaluable. Marketing Executives The digital marketing age has brought with it a plethora of options to market once products and services. Also, public opinion and reviews have never been taken more seriously than after the advent of social networking sites. An understanding of the network analysis and tools to simulate them can be precious. Academic Researchers Since every discipline in this world- social sciences, humanities, science and technology-involve human actors, SNA has gained currency as an effective research tool .The SNA paradigm offers a new and different set of concepts and analytic tools, beyond those provided by standard quantitative (particularly, statistical) methods About the Speaker: Kevin Crowston is a Professor of Information Studies at the Syracuse University since 1996. Prior moving to Syracuse, he taught for five years at the University of Michigan Business School. He received his A.B. (1984) in Applied Mathematics (Computer Science) from Harvard University and a Ph.D. (1991) in Information Technologies from the Sloan School of Management, Massachusetts Institute of Technology. He has articles and book chapters on IT and new organizational forms. His current research projects include the NSF sponsored "VOSS: Theory and design of virtual organizations for citizen science" and "Collaborative Research: CRI: CRD: Data and analysis archive for research on Free and Open Source Software and its development." He is visiting faculty @ ISiM. Registration Fee (Regular) : INR. 8000 Registration Fee (Academics) : INR. 6000 Registration Fee ( Students ) : INR. 2000 Early bird incentive: Discount of INR. 1000* * (if registered on or before March 25, 2010) Group Registration: 10% discount if 3 or more registrants from the same organization. (Not applicable for students ) Organized by International School of Information Management (ISiM) , University of Mysore, Mysore. Workshop Venue: International School of Information Management (ISiM) University of Mysore, Manasagangotri, Mysore 570006 For more details, please Contact: Mr. Jayanth Jagadeesh - 91 9663376680 Ms. Shweta - 91 9663317770 http://www.isim.ac.in/snaworkshop/index.htm http://www.isim.ac.in/snaworkshop/index.htm ********************************************* Thanks and regards, Roopa Project Assistant International School of Information Management University of Mysore, Manasagangotri Mysore - 570 006 Tel: +91-821-2514699; +91-821-2411417 Fax: +91-821-2519209 Email: office@isim.ac.in -- This message has been scanned for viruses and dangerous content by MailScanner, and is believed to be clean.