We have made an online demo of the VACS prototype available vis the VIS-SENSE homepage. A description of the prototype and its features can be found below. For best results please use a high-resolution monitor (at least 1600 x 900 pixels).
The prototype can be accessed here.
The dataset shown in this demo was collected by 419scam.org. It is a set of scam e-mails collected between 2009 and 2013.
The interface consists of two main panels, a configuration panel on the left and a visualization panel on the right. The initial view in the visualization panel is the so-called glyph view. A glyph (i.e. icon) is shown for each cluster in the data set. The glyphs can be sorted by clicking on the headers displayed at the top of the view. In the configuration panel the following layouts can be selected:
- Glyph Layout shows thumbnail images for each cluster in a gallery format,
- Table Layout shows the clusters in a table with the details of a number of properties, and
- List Layout shows thumbnail images for each cluster in a list format.
By double clicking a glyph in the visualization panel, a new tab is created containing four detailed views of the cluster. A time line showing the temporal distribution of the cluster is visible in the bottom part of the visualization panel. The detailed views will be described in more detail below.
- Circular Chord Diagram shows all the co-occurrences of values in the cluster. The values are represented by marks arranged in a circle. Each colour represents a different feature in the data set. Splines in the center of the circle show the co-occurrences, the width of each spline corresponds to the frequency of the co-occurrence. Hovering over a value filters the splines to show only those incident to the value. In addition, a tooltip is displayed with more details about the value represented.
- Word Cloud Viewer shows a word cloud representing the contents of the e-mails in the selected cluster.
- Graph Viewer shows the data making up the cluster as a graph. This view has the same functionality as triage web graph. See the article for more details.
- MDC Treemap Viewer shows the values as a treemap. The size of each cell corresponds to the frequency of each value in the cluster. The cell colours correspond to the features in the data set. Hovering over a cell title causes splines to be displayed, which represent value co-occurrences. Double clicking one of the features zooms into the values of that feature.