Sigma Retweet Cascade Tree
Directed cascade tree showing how a single viral post propagates through a social network — one origin author at the centre, then concentric rings of direct retweeters, retweeters-of-retweeters, and so on, four hops deep. Each node is sized by how many followers re-shared the pos
Template details
- chart
- network
- graph
- sigma
- sigmajs
- webgl
- cascade
- social-media
- diffusion
When to use this template
This visualization excels at revealing the propagation dynamics of a single originating event or piece of content through a network. Analysts can quickly identify key influencers and super-spreaders who significantly amplify reach, even if they are several steps removed from the origin, and understand the overall diffusion pattern, including the prevalence of short-lived cascades versus widespread propagation.
- Directed networks with a single, identifiable origin node
- Datasets tracking 'who-shared-from-whom' relationships
- Hierarchical data with up to four levels of dependency
- Networks where nodes have a measurable influence or reach attribute
- Social media or communication logs detailing re-sharing actions
- Large datasets of individual propagation events from a source