1 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)
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