Week 1 - Social Media Landscape & Visualising Social Media Networks
Readings
Required Readings.
Parts of these readings and themes from them will be covered in the video lecture.
- The future of social media in marketing
- Intrinsic vs. image-related utility in social media: Why do people contribute content to twitter?
- Seeking the support of the silent majority: are lurking users valuable to UGC platforms?
Additional Readings
- Global social media research summary 2021
- A thematic exploration of digital, social media, and mobile marketing research's evolution from 2000 to 2015 and an agenda for future research
- Characterising silent users in social media communities
- A computational reward learning account of social media engagement
- Characterising the Behavioral Evolution of Twitter Users and The Truth Behind the 90-9-1 Rule
- The production and consumption of social media
Video Lecture
- Slides: Social Media Landscape
- Videos as a playlist
Lecture Notes
These notes provide the background reading to work through the self-guided tutorial.
- A First Introduction to Networks with R
- Defines some important terms for talking about networks
- Introduces aspects of the R packages
tidygraph
andggraph
- Introduction to the Twitter API and rtweet
- Introduces the R package
rtweet
- Introduces the R package
Self-Guided Lab
Topic: Collecting Social Media Data and Visualising Social Media Networks
- Link to GitHub repo
- Suggested Solutions
Demonstration Video
Topic: We use rtweet
to access Twitter data and then plot the retweet and mention network using tidygraph
and ggraph
.
- Videos as a playlist
GitHub repo with code & data.
Quiz
- Link to Quiz on Canvas
- Due by 23.59 on 17 April 2021
Discussion Class
- Submit the topics you want to discuss in our live session on April 29 and April 30
- Fill in this survey before 23.59 on Friday April 16