Social Network Analysis has existed for a long
time, but social media has fundamentally changed the way we do this analysis.
Data has become more plentiful and easy to collect, but this has pushed the
boundaries of existing techniques. Sociological methods do not easily scale to
the size of these networks, but purely statistical methods miss the complex
social interactions that take place. This course will teach a mix of
quantitative and qualitative methods for describing, measuring and analyzing
social networks. We will learn how to identify influential individuals, track
the spread of information through networks, and see how to use these techniques
on real problems.
Dr. Jennifer Golbeck will present his course “Introduction
to Social Network Analysis (SNA)” online at Statistics.com. For more
details please visit at Social Network Analysis.
Who Should Take This Course:
Anyone who wants to learn to analyze social
data - people who work in organizations with social media presences that they
want to manage and analyze, or those who work on these networks and want to
better understand the details of the environment they create.
Course Program:
Course outline: The course
is structured as follows
WEEK 1:
Network Analysis Basics
·
Basic Terminology
·
Metrics
·
Visualization
WEEK 2:
The Social Network
·
Tie strength
·
Trust - User attributes and behavior
WEEK 3:
Analytics
·
Modeling
·
Sampling
·
Content Analysis
·
Propagation
WEEK 4:
Applications
·
Location
·
Filtering and recommender systems
·
Business use
Dr. Jennifer Golbeck, instructor, is
Director of the Human-Computer Interaction Lab and an Associate Professor in
the College of Information Studies at the University of Maryland, College Park.
She is a Research Fellow of the Web Science Research Initiative and in 2006,
she was selected as one of IEEE Intelligent Systems' Top Ten to Watch, a list
of their top young AI researchers.
You will be able to ask questions
and exchange comments with the instructors via a private discussion board
throughout the course. The courses take place online at
statistics.com in a series of 4 weekly lessons and assignments, and require
about 15 hours/week. Participate at your own convenience; there are no
set times when you must be online. You have the flexibility to work a bit every
day, if that is your preference, or concentrate your work in just a couple of
days.
For Indian participants
statistics.com accepts registration for its courses at special prices in Indian
Rupees through its partner, the Center for eLearning and Training (C-eLT),
Pune.
Call: 020 66009116
Websites:
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