Anders K. Munk & Mathieu Jacomy

2.9. Write the protocol: Annotated Scopus author-article network map

Duration: 45 min

Goals

  • Activate your knowledge by using the same Scopus data differently
  • Extract an author-article bipartite network with Table2Net
  • Visualize and annotate the network
  • Write the protocol
  • Compare to the previous visualization: do your findings match?

Case

Still Fake news in the academic arena: we will analyze scientific publications.

Data

Reuse the Scopus data from the previous activity.

Task

  • Produce an author-article bipartite network with Table2Net
  • Analyze it in Gephi
  • Produce an annotated network map
  • Write your visual protocol

Bonus

If you are feeling comfortable enough, maybe you could try enriching your visualization by projecting semantic data as colors. Can you make it work? Is there something to see?

Documents produced

Keep somewhere, for sharing, the following documents:

  • The annotated network map (JPEG or PNG)
  • The visual protocol (JPEG or PNG)

Share your work

Your teachers will provide you with a Padlet where you can share your annotated network map and visual protocol. Upload before you go home and take 5 minutes to review and comment on the work of the other groups.

WELL DONE!

🔥 Congratulations for getting through all of this!

Relation to the course readings

  • The process of getting data through scraping, crawling and calling APIs is covered in Chapter 6: Collecting and curating digital records of Venturini, T. & Munk, A.K. (2021). Controversy Mapping: A Field Guide.
  • The principles and concepts of Visual Network Analysis (VNA) are covered in Chapter 2: What is visual network analysis in Jacomy, M. (2021). Situating Visual Network Analysis
  • And in Chapter 7: Visual network analysis in Venturini, T. & Munk, A.K. (2021). Controversy Mapping: A Field Guide

Tools for getting similar data (networks in GEXF or GDF format) from other sources:

  • Networks of users, hashtags, or emojis from Twitter with the Twitter Streaming Importer plugin for Gephi. Takes a list of words/#tags or a list of users as input.
  • Networks of YouTube channels or YouTube videos connected by their relatedness (as meassured by the algorithmic recommendations) with the YouTube Data Tools. Takes a list of video or channel ID’s as input.