WebBy adding a smart local moving algorithm, it improves the accuracy (Waltman and Van Eck, 2013) and adjusts the number of clusters by tuning the resolution parameter γ in the … WebAug 29, 2013 · It is shown that the proposed smart local moving algorithm identifies community structures with higher modularity values than other algorithms for large-scale …
US20240358065A1 - Utilizing similarity, knowledge graphs, and …
WebA smart local moving algorithm for large-scale modularity-based community detection External research report All authors Waltman, L.R.; Eck, N.J.P. van Awarding Institution WebMay 22, 2016 · In the middle of last year, I blogged about the Smart Local Moving algorithm which is used for community detection in networks and with the upcoming introduction of … fitness topics 2021
A smart local moving algorithm for large-scale modularity …
WebDec 7, 2024 · We can look at the mitochondrial sequencing depth for each cell, and further subset the cells based on mitochondrial sequencing depth. VlnPlot (crc, "mtDNA_depth", pt.size = 0.1) + scale_y_log10 () crc <- subset (crc, mtDNA_depth >= 10) crc WebOct 1, 2024 · It is shown that the proposed smart local moving algorithm identifies community structures with higher modularity values than other algorithms for large-scale modularity optimization, among which the popular … WebApr 8, 2024 · The Leiden algorithm consists of three phases: (1) local moving of nodes, (2) refinement of the partition and (3) aggregation of the network based on the refined partition, using the non-refined partition to create an initial partition for the aggregate network. ... The Leiden algorithm is typically iterated: the output of one iteration is used ... fitness topics for presentation