Network Dynamics
Explore the fascinating world of complex networks through 10 interactive simulations. From cascade failures to community detection, see how networks evolve, spread information, and respond to disruption using force-directed graph visualizations.
Cascade Failures
Watch how single node failures trigger cascading failures throughout interconnected networks, similar to power grid blackouts.
02Information Diffusion
See how memes, news, and ideas spread through social networks using epidemic-style diffusion models.
03Network Resilience
Compare how different network topologies (random, scale-free, small-world) handle random vs targeted attacks.
04Preferential Attachment
Watch the Barabási-Albert model in action as new nodes preferentially connect to popular hubs—the "rich get richer" phenomenon.
05Community Detection
Discover hidden communities in networks using the Louvain algorithm, revealing modular structures and clusters.
06Network Centrality
Compare different centrality measures—degree, betweenness, and PageRank—to identify the most important nodes.
07Small World Networks
Explore the "six degrees of separation" through pathfinding in small-world networks with high clustering and short paths.
08Network Motifs
Identify and highlight recurring structural patterns like triangles, feed-forward loops, and other fundamental building blocks.
09Link Prediction
Predict which nodes are likely to form connections based on common neighbors, structural similarity, and network topology.
10Temporal Networks
Watch networks evolve over time as nodes and edges appear, disappear, and change, revealing dynamic patterns and phases.