# influenceR v0.1.0

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## Software Tools to Quantify Structural Importance of Nodes in a Network

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.

# influenceR

influenceR: Software tools to quantify structural importance of nodes in a network. Algorithms include Betweenness Centrality, Bridging, Constraint Index, Effective Network Size, and Key Players. Currently, algorithms are implemented only for undirected graphs; work on directed graphs is in progress.

#### Installation

The current release version can be found on CRAN and installed with:

install.packages("influenceR")

#### Citation

If using this package, please cite Jacobs SD, Khanna AS (2015). influenceR: Software tools to quantify structural importance of nodes in a network R Package Version? URL?

#### Funding

Development of this software package was supported by NIH grant R01 DA033875.

## Functions in influenceR

 Name Description csv.to.igraph Convert a CSV file to an igraph graph object. constraint Burt's Constraint Index. influenceR influenceR: Software tools to quantify structural importance of nodes in a network. bridging Valente's Bridging vertex measure. betweenness Vertex Betweenness centrality measure. ens Burt's Effective Network Size and Constraint index. The next two functions below provide ways to measure the actors' access to structural holes in a network. Structural holes "provide opportunities to broker connections between people" (Burt 2008). keyplayer Compute a KPP-Pos set for a given graph. No Results!