Online Community Detection
1 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Latest papers with no code
Optimality of Graph Scanning Statistic for Online Community Detection
Sequential change-point detection for graphs is a fundamental problem for streaming network data types and has wide applications in social networks and power systems.
Spectral CUSUM for Online Network Structure Change Detection
Detecting abrupt changes in the community structure of a network from noisy observations is a fundamental problem in statistics and machine learning.
MCMC Louvain for Online Community Detection
We introduce a novel algorithm of community detection that maintains dynamically a community structure of a large network that evolves with time.
Sequential Changepoint Approach for Online Community Detection
Finally, numerical examples show that the mixture and the H-Mix methods can both detect a community quickly with a lower complexity than the ES method.
