This answer sheet should be used for your VAST Challenge 2018 Mini-Challenge 3 submission.  Please maintain the .htm format and make sure that all hyperlinks are relative to the answer form. 

Rename this form "index.htm" for your submission.  Remove these instructions and any other example text below that is highlighted in yellow. Please see the "Submission Instructions" at http://vacommunity.org/VAST+Challenge+2018 for more detailed instructions.    

Entry Name:  "UWB-Smith-MC3"

VAST Challenge 2018
Mini-Challenge 3

 

 

Team Members:

Replace this list of team members with the names, affiliations, and email addresses of your own team. Indicate the primary point of contact.  Example:

Marion Smith, University of West Birmingham, smith@westbirmingham.ac.uk     PRIMARY
Paul White, University of Northeastern Washington,
white@unew.edu

Student Team:  Please enter YES or NO

 

Tools Used:

Provide a list of tools used.  Examples:

Tableau

Excel

Spinviz, developed by the University of West Birmingham CS 459 Information Visualization class, taught Spring 2018 by Dr. Smith, and adapted by the student team for the challenge.

 

Approximately how many hours were spent working on this submission in total?

Provide an estimate of the total number of hours worked on this submission by your entire team.

 

May we post your submission in the Visual Analytics Benchmark Repository after VAST Challenge 2018 is complete? Please enter a YES or NO

 

Video

Provide a link to your video.  Example:

http://www.westbirmingham.ac.uk/uwb-smith-mc2-video.wmv

 

 

 

Questions

1.     Using the four large Kasios International data sets, combine the different sources to create a single picture of the company. Characterize changes in the company over time. According to the company’s communications and purchase habits, is the company growing?

Limit your responses to 5 images and 500 words

Provide your answer and corresponding images here.

 

2.     Combine the four data sources for group that the insider has identified as being suspicious and locate the group in the larger dataset. Determine if anyone else appears to be closely associated with this group. Highlight which employees are making suspicious purchases, according to the insider’s data.

Limit your responses to 8 images and 500 words.

 

Provide your answer and corresponding images here.

 

3.     Using the combined group of suspected bad actors you created in question 2, show the interactions within the group over time.

a. Characterize the group’s organizational structure and show a full picture of communications within the group.

b. Does the group composition change during the course of their activities?

c. How do the group’s interactions change over time?

Limit your responses to 10 images and 1000 words

Provide your answer and corresponding images here.

 

4.     The insider has provided a list of purchases that might indicate illicit activity elsewhere in the company. Using the structure of the first group noted by the insider as a model can you find any other instances of suspicious activities in the company? Are there other groups that have structure and activity similar to this one? Who are they? Each of the suspicious purchases could be a starting point for your search. Provide examples of up to two other groups you find that appear suspicious and compare their structure with the structure of the first group. The structures should be presented as temporal not just structural (i.e., the sequence of events—A is followed by B one or two days later—will be important).

 

Limit your responses to 10 images and 1200 words

Provide your answer and corresponding images here.