1. Classroom network analysis
Dr. Dongho Kim

2. 01 02 03 Introduction Basics of social networks
Practice (Social Network Visualizer) 2

3. Introduction

4. Social Network Analysis01
Introduction
Social Network Analysis

5. Social Network Analysis01
Introduction
Social Network Analysis
Social network
Social structure that represents relationships between actors
Social network analysis (SNA)
A method by which to analyze social connections/interactions between actors
Questions for social network analysis
“Who would you go to for advice?”
“Who did you talk to yesterday?”
“Who do you trust?”

6. Basics of social networks

7. 02
Basics
Node
Node (People)
Represents actors (e.g., people, organizations) on which relationships act
Edge (Relationships or interactions)
Represents relationships that connect nodes
James
Edge
Ashley
Ryan
Taylor

8. Basics 02 Simple Edge list (for today) Mark Ashley Tony
Node
(Starting point)
Target node
Mark
Ashley
Tony
Data collection methods
Surveys
Observations
Interviews
Literature review
Digital traces
Data entry
Creating a edge list or matrix (Excel)
Mark
Ashley
Tony

9. Basics 02 1. Network-level indicators (focuses on groups of people)
Provide information about network structure
Psychology,
Sociology,
Ethnography
Density
Diameter
2. Node-level indicators (focuses on an individual)
Quantify the “importance” or “influence” of a particular node within a network
Degree centrality
Betweenness centrality

10. Network-level indicator 102
Network-level indicator 1
Psychology,
Sociology,
Ethnography
Density
Robustness of social network
The number of actual edges vs the number of possible edges
Which network has higher density (more active interaction)?

11. Network-level indicator 202
Network-level indicator 2
Diameter The maximum distance between any two nodes in the network
How long does it take at most to reach any node this network?

12. 02
Node-level indicator 1
Degree centrality The number of links upon a node
*Peripheral connector = below average centrality (unimportant actor)
*Central connector = above average centrality (important actor)
“The importance of a node in the network”
Psychology,
Sociology,
Ethnography
1. In-degree centrality (i.e. degree prestige)
The number of ties directed to the node
2. Out-degree centrality
The number of ties that
node directs to others

13. 02
Node-level indicator 2
Betweenness The number of times a node acts as a bridge along the shortest paths between each node pair that a node is on
*Broker = above average betweenness, student who has control over
information passing
Psychology,
Sociology,
Ethnography
“How likely a node is the most direct route between other two students in the network”
“The degree of which information passes though a student”

14. Practice

15. 03
Practice - Scenario
“I am a teacher who teaches fifth graders in an elementary school, and we are one month away from the beginning of the semester. In order to understand who each student wants to collaborate with in a team, I will administer a survey”
Data collection method: Survey
Survey question:
Who do you want to collaborate with? (up to 3 students)
Student answer example:

16. 03
Practice - Scenario
Create a edge list based on students’ responses using EXCEL and save the file as tab-delimited text 1 2 3

17. 1 2 3 Practice – Social Network Visualizer 03
1. Launch Social Network Visualizer on your computer 1 2 3

18. Practice – Social Network Visualizer03
Practice – Social Network Visualizer
2. “Network” – “Open” – Choose file type in the dropdown (Simple Edge List) –Choose file named “edgelist.txt” – Press “OK” - Press “OK” again
3. “Option” – “Setting” – “Nodes” tab – Change “the label font size” to 18

19. 03
Distance between two nodes 1 2 3

20. 03
Density
=<1.00

21. 03
Diameter

22. 03
Degree centrality
In-degree
Out-degree

23. 03
Betweenness
Q. Who is the most direct route between the rest of the students in this network?

24. 03 Visualize: Rearrange nodes by index For better visualization
Select an index
2. Select an layout type
Result
On levels
Nodal size

25. Practice – Let’s do it yourself03
Practice – Let’s do it yourself
Create and analyze the social network depicted below using Excel and Social
Network Visualizer
Tom
Jameela
Mark
Ashley
Tony
Ryan
Jane
Density?
Diameter?
Highest and lowest In-degree?
Highest and lowest Out-degree?
Highest Betweenness?

26. 03

27. What would you use social network analysis for?03
Reflection
What would you use social network analysis for?
Detecting outsiders
Analyzing online discussions
Comparing current year’ network to the previous year’s
Students’ interactions in team projects

28. Thank you!