Identification and Classification of the Most Influential Nodes

betweenness | Vertex betweenness centrality |

cent_network.vis | Centrality-based network visualization |

centrality.measures | Centrality measures dataset |

clusterRank | ClusterRank (CR) |

coexpression.adjacency | Adjacency matrix |

coexpression.data | Co-expression dataset |

collective.influence | Collective Influence (CI) |

comp_manipulate | Computational manipulation of cells |

cond.prob.analysis | Conditional probability of deviation from means |

degree | Degree of the vertices |

diff_data.assembly | Assembling the differential/regression data |

double.cent.assess | Assessment of innate features and associations of two network... |

double.cent.assess.noRegression | Assessment of innate features and associations of two network... |

exir | Experimental data-based Integrated Ranking |

exir.vis | Visualization of ExIR results |

fcor | Fast correlation and mutual rank analysis |

graph_from_adjacency_matrix | Creating igraph graphs from adjacency matrices |

graph_from_data_frame | Creating igraph graphs from data frames |

graph_from_incidence_matrix | Creating igraph graphs from incidence matrices |

h_index | H-index |

hubness.score | Hubness score |

influential-package | Influential package |

ivi | Integrated Value of Influence (IVI) |

ivi.from.indices | Integrated Value of Influence (IVI) |

lh_index | local H-index (LH-index) |

neighborhood.connectivity | Neighborhood connectivity |

runShinyApp | Run shiny app |

sif2igraph | SIF to igraph |

sirir | SIR-based Influence Ranking |

spreading.score | Spreading score |

V | Vertices of an igraph graph |

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