In the past month, the internet has exploded with information about coronavirus and the disease it causes, COVID-19. The vast amount of data feels like too much to keep up with. But that’s where graph and data visualization thrives! So, we used the power of Tom Sawyer Perspectives to visualize the continually updated genomic epidemiology data provided by Nextstrain to reveal previously unseen coronavirus mutations.
You gather your data, choose the best layout, and find an analysis method that gets your users the insight they need. But before you can declare victory, you need to assign meaning to the objects in your graph. Adding labels to nodes and edges might seem easy enough, but sometimes—especially with graph edge labels—their placement can cause readability issues. Since a “messy” presentation can compromise the message and meaning of your graph visualization, you’ll want to do all you can to prevent these.
I recently learned about Dr. Ioannis Tollis’ impressive career in graph analytics and computer science. He is a pioneer in graph analytics technology, and a Professor at the University of Crete. Dr. Tollis, Ph.D., spoke with us about exciting developments and trends in the field. Read on to find out more.
You’ve been a leader in the global graph analytics technology community since before it hit the mainstream. What are some of the trends you’ve noticed over time?
There are many trends in graph analytics technology that appeared in the past. Some have disappeared, while others are still with us today.
We’re back from an exciting week at Big Data Paris 2017 where we were featured by our customer Airbus in their presentation on enterprise big data integration and graph visualizations. We were delighted to meet up with our Neo Technology France and UK partners and had a great turnout for our workshop on Airbus and Twitter big data.
At our booth, in addition to the very cool Airbus GAIA demonstration on a two meter-wide multi-touch screen, fraud detection, criminal investigations, and networking
were the hot topics. Our crime network and Panama Papers demos were very popular with attendees looking for big data and graph visualization technology.