Social Media Mining: An Introduction (Cambridge University Press, 2014) by Reza Zafarani, Mohammad Ali Abbasi, and Huan Liu is the lab’s textbook. It is used in 100+ courses across 30+ countries and has been translated into Chinese and Farsi. The full text and every lecture slide deck are free to use.
If you want to understand how the lab thinks about problems, this is the place to start — it is also the book behind CIS 700 Social Media Mining on our courses page.
The Book
- Read online — the complete text in your browser
- Download the PDF — full book, free
- Table of contents
- Errata — corrections and updates
- How to cite
- Publisher page (Cambridge University Press)
Lecture Slides
Slide decks for all ten chapters, in both PowerPoint and PDF. Instructors are welcome to adapt them; please cite the book.
- Download everything: all chapters (PPTX, zip) · all chapters (PDF, zip)
| Chapter | Title | Slides |
|---|---|---|
| 1 | Introduction to Social Media Mining | PDF · PPTX |
| 2 | Graph Essentials | PDF · PPTX |
| 3 | Network Measures | PDF · PPTX |
| 4 | Network Models | PDF · PPTX |
| 5 | Data Mining Essentials | PDF · PPTX |
| 6 | Community Analysis | PDF · PPTX |
| 7 | Information Diffusion in Social Media | PDF · PPTX |
| 8 | Influence and Homophily | PDF · PPTX |
| 9 | Recommendation in Social Media | PDF · PPTX |
| 10 | Behavior Analytics | PDF · PPTX |
Data to Teach With
The exercises in the book work best against real data. Ours is on datasets.syr.edu — 19 social network datasets spanning 19M+ nodes and 169M+ edges across seven kinds of platforms. Code and data releases are on GitHub.
Related Tutorials
The book grew out of our ICDM 2013 tutorial. That tutorial and five others are on the tutorials page, with slides.