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...
Can graph theory predict the World Cup winner?
Dan Williams Chief Product Officer
29th June, 2018 | 4 min read
We hear a lot of success stories about how graph theory can make stunning predictions. In this blog post we test...
Visualizing the 2018 World Cup
Dan Williams Chief Product Officer
25th June, 2018 | 3 min read
With the World Cup in full swing, we thought it would be fun to visualize it using our graph visualization...
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...
Using social network analysis measures
Andrew Disney Marketing Director
21st July, 2015 | 6 min read
Using network visualization and SNA measures, our intern plays detective and dissects the connections in the Enron...