SGL: Stata Graph Library for network analysis

Hirotaka Miura ()

CHI11 Stata Conference from Stata Users Group

Abstract: Network analysis is becoming a popular field of research. Though sophisticated packages exist for analyzing networks, such as sna, igraph, and RBGL packages developed for R and MatlabBGL implemented in Matlab, similar programs have yet to be written for Stata. I attempt to fill this void by designing the Stata Graph Library (SGL) in Mata which consists of functions that construct network centrality measures, metrics, and matrices. SGL retrieves relational data from an edge list defined by existing Stata variables or from matrices stored in Mata. SGL is built to work within Stata version 11.1 and is intended for both directed and undirected networks, either of which can be weighted by positive values or unweighted. This paper provides a brief overview of concepts related to network analysis and introduces Stata Graph Library functions that generate matrix representations, centrality measures, and clustering coefficients for directed or undirected networks with or without positive weights.

Date: 2011-07-20
New Economics Papers: this item is included in nep-net
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://fmwww.bc.edu/repec/chic2011/chi11_miura.pdf (application/pdf)
http://fmwww.bc.edu/repec/chic2011/chi11_miura_SGL_version_1.1.2.zip (application/zip)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:chic11:7

Access Statistics for this paper

More papers in CHI11 Stata Conference from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().