| Name : R-influential
| |
| Version : 2.2.9
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.4
| Date : 2024-06-14 12:04:31
|
| Group : Development/Libraries/Other
| Source RPM : R-influential-2.2.9-lp153.2.4.src.rpm
|
| Size : 1.57 MB
| |
| Packager : (none)
| |
| Summary : Identification and Classification of the Most Influential Nodes
|
Description :
Contains functions for the classification and ranking of top candidate
features, reconstruction of networks from adjacency matrices and data
frames, analysis of the topology of the network and calculation of
centrality measures, and identification of the most influential nodes.
Also, a function is provided for running SIRIR model, which is the
combination of leave-one-out cross validation technique and the
conventional SIR model, on a network to unsupervisedly rank the true
influence of vertices. Additionally, some functions have been provided
for the assessment of dependence and correlation of two network
centrality measures as well as the conditional probability of deviation
from their corresponding means in opposite direction. Fred Viole and
David Nawrocki (2013, ISBN:1490523995). Csardi G, Nepusz T (2006). \"The
igraph software package for complex network research.\" InterJournal,
Complex Systems, 1695. Adopted algorithms and sources are referenced in
function document.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
