The R package econet provides methods for estimating parameter-dependent network centrality measures with linear-in-means models. Both nonlinear least squares and maximum likelihood estimators are implemented. The methods allow for both link and node heterogeneity in network effects, endogenous network formation and the presence of unconnected nodes. The routines also compare the explanatory power of parameter-dependent network centrality measures with those of standard measures of network centrality. Benefits and features of the econet package are illustrated using data from Battaglini and Patacchini (2018) and Battaglini, Leone Sciabolazza, and Patacchini (2020).
Econet. an R package for parameter-dependent network centrality measures / Battaglini, Marco; LEONE SCIABOLAZZA, Valerio; Patacchini, Eleonora; Peng, Sida. - In: JOURNAL OF STATISTICAL SOFTWARE. - ISSN 1548-7660. - 102:8(2022), pp. 1-30. [10.18637/jss.v102.i08]
Econet. an R package for parameter-dependent network centrality measures
Valerio Leone Sciabolazza
;
2022
Abstract
The R package econet provides methods for estimating parameter-dependent network centrality measures with linear-in-means models. Both nonlinear least squares and maximum likelihood estimators are implemented. The methods allow for both link and node heterogeneity in network effects, endogenous network formation and the presence of unconnected nodes. The routines also compare the explanatory power of parameter-dependent network centrality measures with those of standard measures of network centrality. Benefits and features of the econet package are illustrated using data from Battaglini and Patacchini (2018) and Battaglini, Leone Sciabolazza, and Patacchini (2020).File | Dimensione | Formato | |
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