News Feeds — Topic Network
Force-directed graph of topic co-occurrence in a news region. Reveals topic clusters and inter-topic relationships.
Template details
- network
- graph
- topics
- news
- nlp
When to use this template
This visualization helps identify communities or clusters of related entities and the strength of their connections. It is valuable when exploring complex systems to uncover hidden structures, understand influence pathways, or detect emergent patterns among interacting components. Analysts use it to map relationships and discover central or bridging entities within a network.
- Datasets representing pairwise relationships between discrete entities.
- Data where connection strength or frequency can be quantified.
- Moderate number of nodes (hundreds to low thousands) for clarity.
- Edge lists or adjacency matrices as input formats.
- Data where entities can belong to multiple groups or themes.
- Datasets where the primary goal is to discover latent groupings.