COMP5048 Visual Analytics 2022 Assignment 1: Individual work
Deadline: April 6 (Week 7) Wednesday 23:59 pm (soft copy on Canvas)

Task: Construct a good visualisation of FOUR of the following data.
You can use any existing software or implement any existing/new algorithms.

Data: Choose one each from each category A, B C, D:
A1: Mystery Graph
http://mozart.diei.unipg.it/gdcontest/contest2008/gdcategories2008.html#MysteryGraph
A2: Game of Thrones http://mozart.diei.unipg.it/gdcontest/contest2018/topics.html

B1: Knowledge Nation http://vlado.fmf.uni-lj.si/pub/networks/data/gd/gd02/indexA.htm
B2: Marvel Cinematic Universe http://mozart.diei.unipg.it/gdcontest/contest2019/topics.html

C1: Mathematics Genealogy Project
http://mozart.diei.unipg.it/gdcontest/contest2018/topics.html
C2: Facebook https://snap.stanford.edu/data/ego-Facebook.html

D1: High school dynamic contact networks_2012
http://www.sociopatterns.org/datasets/high-school-dynamic-contact-networks
• Data: Contact list (year 2012), tab separated, 150KB data set.
D2: Bitcoin https://snap.stanford.edu/data/soc-sign-bitcoin-alpha.html
• Data: Bitcoin_NegativeRating_lcc.zip data set (Download from Canvas).

Submission: Minimum 8-page Report
• 2 pages per data:
◦ 1st page: Visualisation
◦ 2nd page: Description with the following sub-headings:
1. Design and implementation: tools and layouts with Justification (design choice)
2. Evaluation: visual analysis, Pros and Cons
• Appendix (no page limit):
◦ You can include up to two more alternative visualisations per data (should be
substantially different from each other using different techniques)
◦ Include description as above for each alternative visualisation
◦ Add comparison between different visualisations
• Include any source codes in your submission
• Acknowledge all your sources in the Reference

Marking Rubric: (5 marks per data as below: in total, 20 marks)
• Quality of visualisation (2.5 marks)
• Quality of implementation (1 mark)
• Quality of evaluation (1.5 marks)