# Evaluating Multivariate Network Visualization Techniques Using a Validated Design and Crowdsourcing Approach

This README describes the supplementary material that accompanies the main paper.

## Task Descriptions and Live Links

The supplement.pdf document contains detailed information on the tasks, live links to the stimuli for each task, as well as analysis results from provenance data and the qualitative coding of the free explore task in the study (T16).

## Crowdsourced Survey Code

The code used for this study is available at [https://github.com/visdesignlab/mvnv-study](https://github.com/visdesignlab/mvnv-study).
In order to run the survey locally, download the entire directory from the github repository above and run a local server such as the python http-server.

A **live version of the survey** can be found at: [https://vdl.sci.utah.edu/mvnv-study/](https://vdl.sci.utah.edu/mvnv-study/).

## Analysis code and survey responses

The survey responses, as well as the analysis code used are available at [https://github.com/visdesignlab/mvnv-study-analysis](https://github.com/visdesignlab/mvnv-study-analysis).

A **live version of a visualization of the provenance data** collected during the survey can be found at: [https://vdl.sci.utah.edu/mvnv-study-analysis/](https://vdl.sci.utah.edu/mvnv-study-analysis/).

In order to see the provenance visualization locally, download the entire directory from the github repository above and run a local web server such as the python http-server.

## Expert Interview Responses

We conducted a series of expert interviews. The survey questions are in the ExpertSurvey.pdf file, and survey responses are in ExpertResponses.xlsx

## Video Closed Captions

We provide the closed caption files (.sbv and .srt) for the submitted video figure.
