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
*********************************************
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