Views provided by UsageCounts
In this second version, EMtree was improved and present with new functionalities: Stable handling of big networks (200 to 1000 nodes) Set a random initialisation of the EM weights parameters ("random.init" parameter of main function EMtree()) Run stability selection of probability threshold with the StATS function Use a user-provided function for the estimation of the Gaussian covariance matrix in ResampleEMtree ("user_covariance_estimation" parameter) Force some unlinked nodes ("unlinked" parameter) The overall numerical stability was improved thanks to an adaptative conditioning parameter. The vignette Fatala_Net has been updated, and illustrates the new graphic possibilities among which the storing of a layout and the colouring of edges. Finally, the functions "ComparEMtree()" and "compare_graphs()" were deleted.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 4 |

Views provided by UsageCounts