This Answer Sheet should be used for your VAST Challenge 2015 Mini-Challenge 2 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+2015 for more detailed instructions.    

Entry Name:  "UWB-Smith-MC2"

VAST Challenge 2015
Mini-Challenge 2

 

 

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

 

Did you use data from both mini-challenges?  Please enter YES or NO

 

Analytic Tools Used:

Provide a list of analytic tools used.  Examples:

Tableau

Excel

Spinviz, developed by the University of West Birmingham CS 459 Information Visualization class, taught Spring 2011 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 2015 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

 

 

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Questions

 

MC2.1Identify those IDs that stand out for their large volumes of communication.  For each of these IDs

 

      a.      Characterize the communication patterns you see.

      b.      Based on these patterns, what do you hypothesize about these IDs?

 

Limit your response to no more than 4 images and 300 words.

 

 

Provide your answer and corresponding images here.

 

 

MC2.2Describe up to 10 communications patterns in the data. Characterize who is communicating, with whom, when and where. If you have more than 10 patterns to report, please prioritize those patterns that are most likely to relate to the crime.

 

Limit your response to no more than 10 images and 1000 words.

 

 

Provide your answer and corresponding images here.

 

 

MC2.3From this data, can you hypothesize when the crime was discovered?  Describe your rationale.

 

Limit your response to no more than 3 images and 300 words. 

 

 

Provide your answer and corresponding images here.