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Introduction to Social Network Analysis (SNA)

Instructor(s):

Dates:

August 15, 2014 to September 12, 2014

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Introduction to Social Network Analysis

taught by Dr. Jennifer Golbeck

Aim of Course:

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.

This course may be taken individually (one-off) or as part of a certificate program.

Course Program:

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


HOMEWORK

In addition to assigned readings, this course also has supplemental video lectures and supplemental readings available online.

Introduction to Social Network Analysis (SNA)

Be sure you meet all of the minimum requirements before you register, click here to learn more.

Instructor(s):

Dates:
August 15, 2014 to September 12, 2014

Course Fee: $549

Tuition Savings:  When you register online for 3 or more courses, $200 is automatically deducted from the total tuition. (This offer cannot be combined and is only applicable to courses of 3 weeks or longer.)


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Have you reviewed the REQUIREMENTS for this course?

Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.

Introduction to Social Network Analysis

taught by Dr. Jennifer Golbeck

Who Should Take This Course:

Marketing and IT managers, people who work in organizations with social media presences that they want to manage and analyze, and also people in organizations that have, or plan to have, their own social networks, who want to better understand the details of the environment they create.

Level:

Introductory / Intermediate

Prerequisite:
These are listed for your benefit so you can determine for yourself, whether you have the needed background, whether from taking the listed courses, or by other experience.
There are no prerequisites and no particular background is required. Computer scientists or those with humanities backgrounds will be equally capable of doing the work.
Organization of the Course:

This course takes place online at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.


Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:
  1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:

The required text for this course is Analyzing the Social Web by Jennifer Golbeck.   Use the discount code “STAT15” for a 15% discount and free shipping from the publisher.

PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.

Software:

The required software is Gephi (https://gephi.org/). Windows users may also want to get NodeXL (http://nodexl.codeplex.com/). Both are free,


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