Software Tools to Quantify Structural Importance of Nodes in a
Network
c(
person("Jacobs", "Simon", email = "sdjacobs@uchicago.edu", role = "aut"),
person("Khanna", "Aditya", email = "khanna7@uchicago.edu", role = c("aut", "cre")),
person("Madduri", "Kamesh", email = "madduri@cse.psu.edu", role = "ctb"),
person("Bader", "David", email = "bader@cc.gatech.edu", role = "ctb"))
Provides functionality to compute various node centrality measures on networks.
Included are functions to compute betweenness centrality (by utilizing Madduri and Bader's
SNAP library), implementations of Burt's constraint and effective
network size (ENS) metrics, Borgatti's algorithm to identify key players, and Valente's
bridging metric. On Unix systems, the betweenness, Key Players, and
bridging implementations are parallelized with OpenMP, which may run
faster on systems which have OpenMP configured.
igraph (>= 1.0.1), Matrix (>= 1.1-4), methods, utils
Jacobs Simon [aut],
Khanna Aditya [aut, cre],
Madduri Kamesh [ctb],
Bader David [ctb]

Identification of the Most Influential Nodes (Hubs)
Contains functions for 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 (network hubs). Also, 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).

Identification of the Most Influential Nodes
Contains functions for 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, 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.