A new book edited by Wendy Kellogg and Judy Olson is now available. Ways of Knowing in HCI is a collection of chapters on the subject of methods and theories that frame Human Computer Interaction studies.
I co-authored a chapter in the book with Professor Derek Hansen from Brigham Young University on the role social network analysis can play in Human Computer Interaction.
- A social network consisting of Twitter users (nodes) who have Tweeted the word “global warming” connected to one another based on Follow, Reply, or Mention relationships (edges). Nodes are assigned different colors based on clusters. Hubs with many followers are indicated by size.
The chapter outline:
Introduction
A Brief History of Social Network Analysis
Social Network Analysis and Human-Computer Interaction
Goals of Social Network Analysis for HCI Researchers and Practitioners
1) Inform the design and implementation of new CSCW systems
2) Understand and improve current CSCW systems
3) Evaluate impact of CSCW system on social relationships
4) Design novel CSCW systems and features using SNA methods
5) Answer fundamental social science questions
Social Network Analysis Questions
Questions about Individual Social Actors
Questions about Overall Network Structure
Questions about Network Dynamics and Flows
Performing Social Network Analysis
Identify Goals & Research Questions
Collect Data
Sources of Network Data
Types of Social Networks
Representing Network Data
Three ways of representing network data
How to Analyze and Visualize Data
Network Analysis Tools
Commonly Used Network Analysis and Visualization Tools
Node-Specific Metrics: Focusing on the Trees
Common Centrality Metrics
Aggregate Network Metrics: Focusing on the Forest
Common Aggregate Network Metrics
Network Clusters & Motifs: Focusing on the Thickets
Network Dynamics and Information Flow
What Constitutes Good Work
References
