influential

influential 1.1.2 (CRAN version)

• The NC function is improved.

• The documentation of the exir function is updated.

influential 1.1.1 (CRAN version)

• The DESCRIPTION file is updated according to all of the modifications.

• The citation details of the package is updated.

• The function diff.data.assembly is added for assembling the differential/regression data required as an input for the exir function.

• The function exir is added for the experimental-data-based classification and ranking of top candidate features.

• The function clusterrank is upgraded to clusterRank in order to calculate the ClusterRank centrality intenally.

• The function neighborhood.connectivity is undergone minor modifications to enhance the performance speed.

• The function sif2igraph is added for automatic importing and conversion of a SIF file from the users’ local hard drive, cloud space, or internet into a graph with an igraph class.

• The thesis advisors are added to the DESCRIPTION file.

• Some minor corrections are done in the documentation of functions and DESCRIPTION file.

influential 1.0.0 (CRAN version)

• The DESCRIPTION file is updated.

• The Vignettes file is updated.

• The function sirir is added for the unsupervised influence ranking of network nodes.

• The function hubness.score is added for the calculation of Hubness score.

• The function spreading.score is added for the calculation of Spreading score.

• The function ivi is added for the influential node identification from a graph.

• The function ivi.from.indices is added for the influential node identification from indices.

• The function ihs is removed as a refined formual is added for influential node identification.

• Updating the normality assessment results of association functions for vectors of length < 4

• The function clusterrank is added for the calculation of ClusterRank.

• The function collective.influence is added for the calculation of Collective Influence.

• The function lh_index is added for the calculation of local H-index.

• The function h_index is added for the calculation of H-index.

• The function neighborhood.connectivity is updated so that it will not return any NA or NaN values and the output will be a numeric vector.

• The formatting of return values in the documentation of each function is corrected.

• The citation details of the package is updated according to its associated published paper.

• The error regarding the use of NNS since the second use of association assessment functions including cond.prob.analysis and double.cent.assess.noRegression is now corrected.