Our study showing that the spatial organization of deep convective clouds in the tropics changes with the observed time frame; got published in the International Journal of Climatology.
https://doi.org/10.1002/joc.70363

#Climate #cloud #NonlinearDynamics #phd #ComplexNetworks #RMetS #complexsystems #publication #tropics #communitydetection #atmosphere

Well-connectedness of communities: Park et al show that many communities detected with standard algorithms are not well-connected: by cutting a few edges, such a community breaks into 2. Remedy by post-processing.

https://doi.org/10.1371/journal.pcsy.0000009

#clustering
#communitydetection

Well-connectedness and community detection

Author summary Community detection—a term interchangeably used with clustering—is used in network analysis. An expectation is that communities or clusters should be dense and well-connected. However, density is separable from well-connectedness, as clusters may be dense without being well-connected. Our study demonstrates that several clustering algorithms generate clusters that are not well-connected according to a mild standard we impose. To address this issue, we developed the Connectivity Modifier (CM), a tool to allow users to specify a threshold for well-connectedness and enforce it in the output of multiple community detection methods.

📢 📢 New preprint: We investigated the extent to which current heuristic modularity maximization algorithms succeed in returning optimal partitions. Read more➡️"Heuristic Modularity Maximization Algorithms for Community Detection Rarely Return an Optimal Partition or Anything Similar." https://arxiv.org/pdf/2302.14698
Joint work w/ Mahdi Mostajabdaveh (Huawei) and Hriday Chheda (U Toronto)
Please repost🔃 #NetworkScience #Algorithms #Optimization #CommunityDetection #MachineLearning #OperationsResearch
Marginalia Search - social network criminal community detection