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)
