Filtering is a powerful way to reduce noise and reveal insight in your graphs.
Use our products to apply filters to any characteristics in your data – show only the nodes and links users need to see, and hide those they don’t. This user-driven approach to data visualization uncovers insight hidden in key data without getting distracted or hindered by noise.
Focus on the detail
Filters isolate subsets of nodes in your data so you can understand them better. It’s easy to go from a wide angle view of a vast data landscape to a focused exploration of key items.
Understand the big picture
Filters make it easy to experiment with different views of the dataset. Users can explore charts at a macro level to see how groups of nodes affect the overall dynamic. By showing and hiding clusters of nodes, you can view the interactions between sub-networks, discovering dependencies and connections that aren’t immediately visible.
Combine with other measures
A great way to enhance the power of filters is to combine them with other graph analysis measures and algorithms. When you combine a filter with the degree social network analysis measure, nodes are filtered based on their relative connectedness, gradually revealing the most tightly-bound clusters in the graph.
Understand time-based trends
Filtering by time reveals trends and patterns that are invisible when data is viewed all at once. Our customizable time bar provides a clear way to analyze how connected data evolves over time. Seamless integration with the chart means filtering can be chart driven (select chart items so the time bar shows when they happened) or time bar-driven (select a point in time or duration so the chart shows which items were involved).
Ready to learn more?
Filtering is a powerful graph visualization tool. Start an evaluation of our products to try it on your own data.