Network digital twin visualization 101
Jan Girman Product Manager
19th November, 2024 | 12 min read
This blog post explores how graph visualization brings digital twins to life. Before joining Cambridge...
Using graph theory to make 2022 World Cup predictions
Dan Williams Chief Product Officer
18th December, 2022 | 9 min read
Here’s a story about how we made World Cup predictions that (almost) came true. After our successful...
PageRank centrality & EigenCentrality
Andrew Disney Marketing Director
14th January, 2020 | 5 min read
PageRank centrality & EigenCentrality are powerful graph functions in our visualization technology. Discover...
Social network analysis 101: centrality measures explained
Andrew Disney Marketing Director
2nd January, 2020 | 6 min read
Here’s everything you need to get started with centrality measures: what they are, what they tell us and...
Game of Nodes: Visualizing a 13-14th century social network
Catherine Kearns Content Strategist & Team Lead
14th January, 2019 | 6 min read
In this blog post, we’ll bring a medieval community to life. Our graph visualizations will help us gain insight...
Visualizing the friendship paradox
Andrew Disney Marketing Director
13th November, 2018 | 6 min read
We use the advanced features of our graph visualization technology to test the friendship paradox. We’ll show...
How we predicted the World Cup result
Dan Williams Chief Product Officer
18th July, 2018 | 5 min read
We take a closer look at how we used graph theory to predict France as the 2018 FIFA World Cup winners....
Creating an NYC taxi data visualization with KeyLines
Christian Miles VP of Sales
18th June, 2018 | 5 min read
In this blog, we use a New York taxi cab database to show how graph visualization can be useful when working with...
Network Clustering
Andrew Disney Marketing Director
11th January, 2016 | 3 min read
Our clustering function can identify communities in your networks. It has been carefully optimized to balance...