keyplayer-package: Locating Key Players in Social Networks
Description
keyplayer is developed in three aspects. First, it introduces four centrality measures built on the recent research: mreach.degree, mreach.closeness (An and Liu, 2015), fragment (Borgatti, 2006), and diffusion (Banerjee et.al., 2013). Second, it extends the degree, closeness, betweenness, and eigenvector centralities as well as the above four newly included measures from a node-level to a group-level. kpcent encompasses all the eight measures and is able to compute the group centrality when measure and grouping method are specified. Third, it implements a greedy search algorithm to locate key players in a social network. kpset reports the players who form the most central set and its centrality score, when measure and target group size are spcified. Please cite the package as follows.
An, Weihua and Yu-Hsin Liu (2015). ``keyplayer: Locating Key Players in Social Networks." R package version 1.0.1.Details
ll{
Package: keyplayer
Type: Package
Version: 1.0.1
Date: 2015-10-15
Imports: sna, matpow
License: GPL-3
}References
An, Weihua. (2015). "Multilevel Meta Network Analysis with Application to Studying Network Dynamics of Network Interventions." Social Networks 43: 48-56.
An, Weihua and Yu-Hsin Liu (2015). "keyplayer: An R Package for Locating Key Players in Social Networks."
Working Paper, Indiana Univeristy.
Banerjee, A., A. Chandrasekhar, E. Duflo, and M. Jackson (2013): "Diffusion of Microfinance," Science, Vol. 341. p.363
Borgatti, Stephen P. (2006). "Identifying Sets of Key Players in a Network." Computational, Mathematical and Organizational Theory, 12(1):21-34.
Butts, Carter T. (2014). sna: Tools for Social Network Analysis. R package
version 2.3-2. http://CRAN.R-project.org/package=sna
Matloff, Norm and Jack Norman. (2014). matpow: matrix powers. R package
version 0.1.1. http://CRAN.R-project.org/package=matpow