Arcade is constantly developing new features to help our users have a better experience understanding their data. We are thrilled to announce our newest timeline analysis feature! The simple-to-use and intuitive timeline feature allows users to do a temporal analysis in order to see how your data changes over time.
Users can use the timeline feature through the sidebar menu. Here you can configure the input data for the timeline widget, by selecting several nodes or edge classes and for each of them a valid date property for the time period you want to analyse. The date property will be used to fetch all the time data present in the current dataset which will allow users to analyse them in the timeline widget and use them to detect the changes happening throughout time.
When the timeline is activated, every time you update the input configuration by adding or removing an item, the timeline chart will be automatically updated.
This is very useful for many use cases, for example let’s suppose that we have got time data in our edges indicating when specific relationships were established between the entities in our graph. Using the time filtering we can easily inspect how the graph of connections changed through time. To understand more fully how the timeline feature works read about it in the user manual.
Top Down Analysis
The chart provided in the timeline is conceived to allow users to perform a simple top down temporal analysis: starting from a wider view it is possible to see at first glance how the events are distributed over the time.
Let’s have a look at the example below.
All the loaded events are approximately included in a range from 2000 to 2015, with a higher density in a more specific window defined between 2001 and 2005.
Let’s focus on this range by zooming in this time window.
In this way you can reach a better distribution precision, then it’s easy to observe there are two main relevant sub-ranges inside the previous time window (2001-2005): the first one comprehends part of 2003 and 2004 years, and the second one, including all 2006.
You can perform this procedure iteratively till the maximum grain, where you can inspect each single event. Below is the focus on 2006.
Here we are inspecting all the single events occured in January 2006.
Time filtering is maybe the most fascinating feature you can enjoy in the timeline widget.
You can access the feature by clicking the dedicated filter button, a customizable time window will appear.
By moving the left and right bars of the blue time window, you will be able to filter in or out all the elements in the graph whose events are included or excluded in the specified range.
You can study the evolution of the graph through the time just by playing with the time range. When you narrow the time window all the elements filtered out will be hidden in the graph.
When you enlarge time window the filtered in elements are shown again in the graph above.
This is very useful for many use cases, such as identifying when specific relationships were established between the entities in our graph. To try out the timeline feature for yourself click here for our online demo.