Starting with Social Network Analysis
3.6 (129 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
487 students enrolled

Starting with Social Network Analysis

Learn all you need to know to quickly get started with doing and understanding social network analysis (SNA)!
3.6 (129 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
487 students enrolled
Last updated 9/2018
English
Current price: $83.99 Original price: $119.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 2 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Conceptualize your own social network study
  • Collect social network data yourself
  • Have an idea of how to analyze your social network data
  • Understand social network research more deeply
Requirements
  • You should be interested in social network analysis (as a method used in research or business).
  • Attention: This course is not about social media -- but if you want to apply social network analysis to social media, please join!
Description

In this course, you will learn everything you need to get started with doing social network analysis (SNA). Taking this course will be the fastest way for you to learn about the nature of this unique perspective and to understand its major concepts. Additionally, I will provide executive summaries of foundational social network studies (which will be continously updated) to get you started with your literature work.

Specifically, you will learn...

- …about the basic concepts that we have to understand to do and read about social network analysis.

- …about everything you need to set up your own network study (or to understand the setup of another social network study).
- …about common strategies to collect relational data.
- …how to analyse network data.
- …what software packages exist that may   help you with social network data collection or data analysis.
- …about influential texts in the field of social network research.

There are plenty of exercises included in this course to help you solidify your learning.


Who will be your instructor?
My name is Dominik E. Froehlich and I am an active researcher of social networks for quite a few years now. I mostly study networks in the domain of learning and instruction, but occasionally I ventured to other fields, such as organization and management. I'm well published in this field in terms of academic articles, I'm editing a book about social network analysis with a well-known publisher, and my work on social networks has won international academic awards. Speaking of awards: I also won awards for my (online) teaching -- so hopefully this translates into a great learning experience for you. I'm always available for questions and suggestions for further lections in the course in order to make the course even more relevant to you!       


Is this course right for you?

While this course is explicitly targeted at researchers at any level (including students, of course!), organizational consultants and managers may find the course useful to understand the basics of how work is often organized in an informal way.


Need even more information?

Need more information? Check out the preview videos, the curriculum, or this list of learnings... and don't forget that you can get a refund within 30 days, no questions asked.

You will learn...

- …why social network   analysis  is receiving so much interest   these days---and why it will pay off for you to learn about it.
- …about the general perspective that social network analysis takes and how this perspective is   different or novel.
- …about how we can define the nature of social networks.
- …about a central concept of  social network analysis: nodes, which are also called vertices or  actors.
- …about modes and the  disctinction between one-mode networks and two-mode networks.
- …about another important   concept of social network analysis: egdes, which are also called ties or arcs or relationships.
- …about how you may classify differnt types of networks.
- …how networks are made up by vertices and edges.
- …about the difference  between sociocentric and egocentric networks in social network  analysis.
- …about what types of research questions are possible to answer using social network analysis.
- …about the different units of analysis that you may investigate using social network analysis.
- …about the boundary  specification problem; a very important challenge in any social network   study.
- …about theorizing within social network studies.
- …about the key features of  social capital theory.
- …about the key features of  cognitive social structures.
- …about the key features of  balance theory.
- …about the key features of  homophily.
- …about the quality of   relational data that we need for social network analysis.
- …about the specificities of   collecting quantitative network data via a survey.
- …that ethical considerations   are especially important when conducting social network analysis.
- …about two major ways of  storing quantitative network data: the matrix format and the edgelist   format.
- …how to present quantitative  data in different formats (edgelist, matrix, and the visual representation)  and how to prepare your data accordingly.
- …about nodal degree, a very basic put important centrality metric frequently used in social network   analysis.
- …about betweenness, an often used metric for centrality or brokerage in networks.
- …about closeness, an indicator for distance between one node and the rest of the network.
- …where to download the open source software Gephi, which we will use for network visualization.
- …how to navigate in Gephi.
- …to calculate key metrics of   social network analysis in Gephi.
- …about how to apply   layouting algorithms in Gephi.
- …how to change the   appearance of your network graph based on previously calculated metrics.
- …where to download the   software Vennmaker, which we will use for network data collection.
- …how to navigate in VennMaker and how this software may help you in collection relational data.

- ...and more...

Who this course is for:
  • Researchers at any level seeking to apply social network analysis quickly
  • Students wanting to learn about social network analysis
  • Reviewers and staff of funding agencies who want to get a quick overview of the field
  • Managers and consultants who want to understand the informal organization of work
Course content
Expand all 59 lectures 01:50:42
+ Introduction to the course
3 lectures 03:41

In this lecture you will learn about the learning goals of this course on social network analysis (SNA).   

Preview 00:39

In this lecture you will learn why social network analysis  is receiving so much interest these days---and why it will pay off for you to learn about it.   

Preview 01:59

In this lecture you will learn about the general perspective that social network analysis takes and how this perspective is different or novel.

Preview 01:03
+ First contact with social network thinking
10 lectures 10:22

In this lecture you will learn about how we can define the nature of social networks.   

What is a social network?
01:42

In this lecture you will learn about social networks by thinking about examples of your own life that may be conceptualized as a (social) network.   

Exercise: Your real-life networks
00:54

In this lecture you will learn about a central concept of social network analysis: nodes, which are also called vertices or actors.   

The nature of nodes
01:13

In this lecture you will learn about modes and the disctinction between one-mode networks and two-mode networks.   

Modes
00:56

In this lecture you will learn about another important concept of social network analysis: egdes, which are also called ties or arcs or relationships.   

The nature of edges
02:27

In this lecture you will learn about how you may classify differnt types of networks.

Exercise: Classifying networks
00:20

In this lecture you will learn how networks are made up by vertices and edges.

The nature of networks
01:04

In this lecture you will learn about the difference between sociocentric and egocentric networks in social network analysis.   

Sociocentric networks vs. ego networks
00:59
Summary
00:27
+ Setting up a network study
12 lectures 12:03

In this lecture you will learn about what types of research question are possible to answer using social network analysis.

Finding a network research question
01:52

In this lecture you will learn about the different units of analysis that you may investigate using social network analysis.   

Unit of analysis
01:12

In this lecture you will learn about the boundary specification problem; a very important challenge in any social network study.   

Setting boundaries: The boundary specification problem
01:53

In this lecture you will learn about theorizing within social network studies.   

Theorizing about networks: Network theory
01:50

In this lecture you will learn about the key features of social capital theory.   

A glimpse into... social capital theory
01:26

In this lecture you will learn about the key features of cognitive social structures.   

A glimpse into... cognitive social structures
00:36

In this lecture you will learn about the key features of balance theory.   

A glimpse into… balance theory
01:03

In this lecture you will learn about the key features of homophily.   

A glimpse into… homophily (similarity-attraction theory)
00:42
Exercise: Homophily
00:27
Learn more about network theories
00:19
Summary
00:17
+ Collecting and storing network data
9 lectures 28:16

In this lecture you will learn about the quality of relational data that we need for social network analysis.   

What is relational data?
00:42

In this lecture you will learn about the specificities of collecting quantitative network data via a survey.

Collecting quantitatve survey data
01:44

In this lecture you will learn that ethical considerations are especially important when conducting social network analysis.

Ethical considerations of network data collection
00:48

In this lecture you will learn about two major ways of storing quantitative network data: the matrix format and the edgelist format.

Storing quantitative network data
02:32

In this lecture you will learn how to present quantitative data in different formats (edgelist, matrix, and the visual representation) and how to prepare your data accordingly.

Transforming quantitative data
11:57
Exercise: Transforming an edgelist
03:45
Exercise: Transforming a matrix
03:07
Exercise: Extracting data from a graph
03:16
Summary
00:25
+ Analyzing network data
4 lectures 16:30

In this lecture you will learn about nodal degree, a very basic put important centrality metric frequently used in social network analysis.   

Introduction to centrality metrics: nodal degree
04:32

In this lecture you will learn about betweenness, an often used metric for centrality or brokerage in networks.

Preview 05:49

In this lecture you will learn about closeness, an indicator for distance between one node and the rest of the network.   

Closeness centrality
03:58
Exercise: Centrality sores
02:11
+ Overview of Software for Social Network Analysis
11 lectures 28:44

In this lecture you will learn where to download the open source software Gephi, which we will use for network visualization.

Gephi: Downloading
01:20

In this lecture you will learn how to navigate in Gephi.

Gephi: Getting Started
03:33

In this lecture you will learn to calculate key metrics of social network analysis in Gephi.

Gephi: Calculating statistics
01:53

In this lecture you will learn about how to apply layouting algorithms in Gephi.

Gephi: Layouting
00:51

In this lecture you will learn how to change the appearance of your network graph based on previously calculated metrics.

Preview 02:35

In this lecture you will learn where to download the software Vennmaker, which we will use for network data collection.   

VennMaker: Downloading
00:38

In this lecture you will learn how to navigate in VennMaker and how this software may help you in collection relational data.   

VennMaker: Getting Started
07:32
UCINET: Downloading
01:35
UCINET: Overview
02:05
UCINET: Matrix Editor
03:57
UCINET: Datafiles
02:45
+ Executive summaries of important social network texts
9 lectures 11:00
Overview
00:54
Blau (1964): Exchange and Power in Social Life
02:01
Borgatti and Everett (1997): Network Analysis of 2-Mode Data
01:44
Bourdieu (1986): The Forms of Capital
01:19
Cartwright and Harary (1956): Structural Balance
01:19
Coleman (1988): Social Capital in the Creation of Human Capital
00:49
Cross and Parker (2004): The Hidden Power of Social Networks
00:43
Feld (1981): The Focused Organization of Social Ties
01:07
Freeman (1978): Centrality in Social Networks
01:04
+ BONUS
1 lecture 00:06
[in German] Vouchers for method and academic writing courses
00:06