Book contents
- Frontmatter
- Contents
- Figures
- Tables
- Code Snippets
- Acknowledgments
- 1 Why Social Media Matters to the Social Sciences
- 2 Getting Started with Social Media Data
- 3 Content Analysis of Social Media Data
- 4 Geospatial Analysis of Social Media Data
- 5 Network Analysis of Social Media Data
- 6 The Ethics of Using Social Media Data
- References
- Index
5 - Network Analysis of Social Media Data
Published online by Cambridge University Press: 03 November 2022
- Frontmatter
- Contents
- Figures
- Tables
- Code Snippets
- Acknowledgments
- 1 Why Social Media Matters to the Social Sciences
- 2 Getting Started with Social Media Data
- 3 Content Analysis of Social Media Data
- 4 Geospatial Analysis of Social Media Data
- 5 Network Analysis of Social Media Data
- 6 The Ethics of Using Social Media Data
- References
- Index
Summary
Chapter 5 introduces network analysis. Social media data frequently has elements that are amenable to network analysis, including friend/follower networks and retweet networks. This chapter addresses how to collect and operationalize this data into measures appropriate for network analysis. It shows how to collect en masse the timelines of a given set of users, in addition to traversing their friend and follower networks. In addition, it demonstrates how to do so by collecting all tweets of all members of Congress in real time. Finally, it demonstrates in applied form how to identify automated accounts (bots) among the data being collected.
Keywords
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- Social Media as Social Science Data , pp. 122 - 145Publisher: Cambridge University PressPrint publication year: 2022