@graphty/algorithms / index / leiden
Function: leiden() ​
leiden(
s,options?):LeidenResult
Defined in: indexed/leiden.ts:409
Leiden community detection (Traag, Waltman and van Eck, Sci. Rep. 9:5233, 2019) over an undirected snapshot: fast local moving, refinement into well-connected sub-communities, and aggregation by contract() once per level. Whole passes repeat from the previous answer, keeping a pass only when it raises modularity, until three passes in a row improve it by no more than threshold or maxIterations passes have run; every pass starts by moving single original nodes, so the answer is also a local optimum of those moves.
Modularity follows graph-format's weightedDegree() convention (a self-loop counts twice), which on a graph without self-loops equals the legacy leiden's. Weights are the exact f64 ones when the snapshot keeps them. The partition is not the legacy function's move for move: the legacy leiden splits disconnected communities rather than refining them, and visits nodes in another order; what this guarantees is connected communities. Both are randomised heuristics, so for one seed either can come out ahead; on the shared fixtures this one's modularity is at least the legacy's at the default seed and on average over seeds.
Parameters ​
s ​
GraphSnapshot
An undirected snapshot
options? ​
LeidenOptions = {}
Resolution, seed, pass cap and stopping threshold
Returns ​
The partition, its modularity, and the levels processed
Throws ​
Error on a directed snapshot; RangeError for a negative, NaN or infinite weight or a fractional seed