Introduction to Network Analysis

Introduction to Network Analysis

taught by Jennifer Golbeck

 

 
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Aim of Course:

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 online course "Introduction to Network Analysis" 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.

Anticipated learning outcomes:

  • Visualize networks of connections among entities or people
  • Measure attributes of networks 
  • Measure attributes of users and ties among them
  • Sample from networks that would be too large for analysis taken as a whole
  • Generate and study hypotheses about networks
  • Analyze propagation of things through networks

 

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 Network Analysis

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:
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:
Options for Credit and Recognition:
Course Text:

The required text for this course is Analyzing the Social Web by Jennifer Golbeck. 

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,
Instructor(s):

Dates:

August 09, 2019 to September 06, 2019 February 21, 2020 to March 20, 2020

Introduction to Network Analysis

Instructor(s):

Dates:
August 09, 2019 to September 06, 2019 February 21, 2020 to March 20, 2020

Course Fee: $549

Do you meet course prerequisites? What about book & software? (Click here to learn more)

We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

Group rates: Click here to get information on group rates. 

First time student or academic? Click here for an introductory offer on select courses. Academic affiliation?  You may be eligible for a discount at checkout.

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The Institute for Statistics Education is certified to operate by the State Council of Higher Education in Virginia (SCHEV).

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