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## Social network analysis with sna (2008)

Venue: | Journal of Statistical Software |

Citations: | 33 - 0 self |

### Citations

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Citation Context ...istribution of the true graph and error parameters (where applicable) using a multiple-chain Gibbs sampler. The potential scale reduction measure of Gelman and Rubin (1992) (in the simplified form of =-=Gelman et al. 1995-=-) can be applied via potscalered.mcmc to assess convergence, and bbnam.bf supports basic model comparison using approximate Bayes factors. Draws from the model can be used directly, or used to constru... |

1516 | Inference from iterative simulation using multiple sequences. Statistical science - Gelman, Rubin - 1992 |

1512 |
Spatial Econometrics: Methods and Models,
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(Show Context)
Citation Context ...wiring processes (Watts and Strogatz 1998) and the biased net models of Skvoretz et al. (2004); Rapoport (1957). ˆ Functions to fit network autocorrelation (also known as spatial autocorrelation, see =-=Anselin 1988-=-) and biased net models. ˆ Functions for network inference (i.e., inferring networks from multiple reports containing missing and/or error-prone data). This includes heuristic estimators such as Krack... |

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Markov graphs
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Citation Context ...l network analysts have recognized the importance of subgraph frequencies as an indicator of underlying structural tendencies. This theory has been considerably enriched in recent decades (see, e.g., =-=Frank and Strauss 1986-=-; Pattison and Robins 2002), particularly with respect to the connection between edgewise dependence conditions and structural biases (see Wasserman and Robins (2005) for an approachable introduction)... |

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135 |
Predicting with networks: nonparametric multiple regression analysis of dyadic data.
- Krackhardt
- 1988
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Citation Context ...n, in the paradigm of Butts and Carley (2005). This includes structural covariance/correlation and distance routines, as well as tools for scaling and visualization of graph sets. Network regression (=-=Krackhardt 1988-=-), canonical correlation analysis, and logistic network regression are also supported; QAP (Hubert 1987; Krackhardt 1987b) and CUG tests are currently implemented for all three approaches. ˆ Functions... |

100 | Neighborhood-based models for social networks. In - Pattison, Robins - 2002 |

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66 |
QAP Partialling as a test of Spuriousness.
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Citation Context ... well as tools for scaling and visualization of graph sets. Network regression (Krackhardt 1988), canonical correlation analysis, and logistic network regression are also supported; QAP (Hubert 1987; =-=Krackhardt 1987-=-b) and CUG tests are currently implemented for all three approaches. ˆ Functions to generate graph-valued deviates from various stochastic processes. So-called Erdös-Rényi graphs, inhomogeneous Bernou... |

45 | Communicating centrality in policy network drawings.
- Brandes, Kenis, et al.
- 2003
(Show Context)
Citation Context ...trix form). Standard graph layout methods such as those of Fruchterman and Reingold (1991) and Kamada and Kawai (1989), general multidimensional scaling/eigenstructure methods, and “target” diagrams (=-=Brandes et al. 2003-=-) are included by default, and4 Social Network Analysis with sna custom layout routines are also supported. Functions are included to facilitate common tasks such as extracting neighborhoods and egoc... |

45 |
Structural Parameters of communication networks,
- Shimbel
- 1953
(Show Context)
Citation Context ...taken equal to 0 where g(v ′, v ′′, G) = 0. A close variant, stress centrality, is identical save for the as cb(v, G) ≡ ∑ (v ′ ,v ′′ )⊂V \v denominator of the geodesic count ratio, which is set to 1 (=-=Shimbel 1953-=-); this is implemented n−1 by stresscent in sna. Finally, closeness is given by cc(v, G) ≡ P v ′ ∈V d(v,v′ ) , where d(v, v′ ) is the geodesic distance from vertex v to vertex v ′. Closeness is ill-de... |

38 | Contribution to the theory of random and biased nets', - Rapoport - 1957 |

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35 |
KrackPlot 3.0: An improved network drawing program.
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- 1994
(Show Context)
Citation Context ...nd van Duijn 2003) , MultiNet (Richards and Seary 2006), and GRADAP (Stokman and Van Veen 1981) to more specialized applications such as netdraw (Borgatti 2007), SIENA (Snijders 2001), and KrackPlot (=-=Krackhardt et al. 1994-=-) (to name a few), a variety of software solutions are available for the network analyst. While each of these packages has its own assets, there continues to be a need for network analysis software wh... |

25 |
The Contiguity Ratio and
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- 1954
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Citation Context ...can compute correlations/covariances for partial and complete in-, out-, and combined neighborhoods of various orders, as well as autocorrelation indices such as Moran’s I (Moran 1950) and Geary’s C (=-=Geary 1954-=-). Prior inspection of network autocorrelation functions can aid in proposing weight matrices for subsequent evaluation (in analogy to similar heuristics within the time series literature; see, e.g. B... |

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13 |
SparseM: sparse linear algebra. R package version 0.85 [cited 2011 October 25]. Available from: http:// cran.r-project.org/web/packages/SparseM/index.html
- Koenker, Ng
(Show Context)
Citation Context ...onal arrays. While adjacency matrices are convenient to work with, they are inefficient for large, sparse graphs. When working with such data, the use of network (Butts et al. 2007) or sparse matrix (=-=Koenker and Ng 2007-=-, SparseM[) objects may be preferred. sna accepts all three such data types interchangeably. In many instances, one may need to perform operations on multiple graphs at once. Where such graphs are of ... |

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Rethinking centrality
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Citation Context ...y defined only up to a rescaling operation. Closely related to evcent and bonpow are prestige (which calculates various prestige measures) and infocent (which calculates the information centrality of =-=Stephenson and Zelen 1989-=-). Although a range of indices is included within prestige, all measure the extent to which individuals secure the direct or indirect nomination of others; several variants of eigenvector centrality a... |

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