... reviews software for the analysis of social networks. Both commercial and freely available pa... more ... reviews software for the analysis of social networks. Both commercial and freely available packages are considered. Based on the software page on the INSNA website (http://www. insna. org/lNSNA/softJnf. html), and using the main topics in the book on network analysis by ...
The workshop gives a general introduction in statistical methods and models for the analysis of s... more The workshop gives a general introduction in statistical methods and models for the analysis of social networks. It is based upon the general question: How do we determine which type of statistical analysis is appropriate to analyze network data? To answer this question, statistical analyses are linked to research questions that are interesting from a statistical point of view (Huisman & van Duijn 2004): (1) How can properties of networks and actors be described, compared, and categorized? (2) How can the association between ties with one network and between networks on the one hand, and between network ties and actor characteristics on the other hand be described and modeled? (3) How do networks develop over time and influence each other? Statistical methods that can answer these kind of questions include, amongst others, exponential random graph models (van Duijn et al. 2004; Wasserman & Pattison 1996) and actor oriented model for network dynamics (Snijders 2001). The morning sess...
This paper gives a state-of-the-art overview of available software for the statistical analysis o... more This paper gives a state-of-the-art overview of available software for the statistical analysis of social networks as of Summer 2004. It reviews and compares software pack- ages for social network analysis with respect to their statistical procedures, illustrating some procedures with example data. The choice of routines that were inspected is re- stricted to procedures for statistical modeling based on
A random effects model is proposed for the analysis of binary dyadic data that represent a social... more A random effects model is proposed for the analysis of binary dyadic data that represent a social network or directed graph, using nodal and/or dyadic attributes as covariates. The network structure is reflected by modeling the dependence between the relations to and from the same actor or node. Parameter estimates are proposed that are based on an iterated generalized least-squares procedure. An application is presented to a data set on friendship relations between American lawyers.
The workshop gives a general introduction in statistical methods and models for the analysis of s... more The workshop gives a general introduction in statistical methods and models for the analysis of social networks. It is based upon the general question: How do we determine which type of statistical analysis is appropriate to analyze network data? To answer this question, statistical analyses are linked to research questions that are interesting from a statistical point of view (Huisman & van Duijn 2004): (1) How can properties of networks and actors be described, compared, and categorized? (2) How can the association between ties with one network and between networks on the one hand, and between network ties and actor characteristics on the other hand be described and modeled? (3) How do networks develop over time and influence each other? Statistical methods that can answer these kind of questions include, amongst others, exponential random graph models (van Duijn et al. 2004; Wasserman & Pattison 1996) and actor oriented model for network dynamics (Snijders 2001). The morning sessions of the workshop will focus on statistical network descriptives (like degrees, dyad and triad census, combined with distributional properties) and visualization techniques (as they are available in software packages, Huisman & van Duijn 2005). Also the analysis of relations within and between networks, and between networks and actors by using exponential random graph models will be discussed, as well as some other methods to answer the second research question. The afternoon starts with a session on the analysis of multiple networks and network dynamics, and ends with a tutorial on StOCNET (Boer et al. 2004), a free software program for the statistical analysis of social networks (Huisman & van Duijn 2003).
... reviews software for the analysis of social networks. Both commercial and freely available pa... more ... reviews software for the analysis of social networks. Both commercial and freely available packages are considered. Based on the software page on the INSNA website (http://www. insna. org/lNSNA/softJnf. html), and using the main topics in the book on network analysis by ...
The workshop gives a general introduction in statistical methods and models for the analysis of s... more The workshop gives a general introduction in statistical methods and models for the analysis of social networks. It is based upon the general question: How do we determine which type of statistical analysis is appropriate to analyze network data? To answer this question, statistical analyses are linked to research questions that are interesting from a statistical point of view (Huisman & van Duijn 2004): (1) How can properties of networks and actors be described, compared, and categorized? (2) How can the association between ties with one network and between networks on the one hand, and between network ties and actor characteristics on the other hand be described and modeled? (3) How do networks develop over time and influence each other? Statistical methods that can answer these kind of questions include, amongst others, exponential random graph models (van Duijn et al. 2004; Wasserman & Pattison 1996) and actor oriented model for network dynamics (Snijders 2001). The morning sess...
This paper gives a state-of-the-art overview of available software for the statistical analysis o... more This paper gives a state-of-the-art overview of available software for the statistical analysis of social networks as of Summer 2004. It reviews and compares software pack- ages for social network analysis with respect to their statistical procedures, illustrating some procedures with example data. The choice of routines that were inspected is re- stricted to procedures for statistical modeling based on
A random effects model is proposed for the analysis of binary dyadic data that represent a social... more A random effects model is proposed for the analysis of binary dyadic data that represent a social network or directed graph, using nodal and/or dyadic attributes as covariates. The network structure is reflected by modeling the dependence between the relations to and from the same actor or node. Parameter estimates are proposed that are based on an iterated generalized least-squares procedure. An application is presented to a data set on friendship relations between American lawyers.
The workshop gives a general introduction in statistical methods and models for the analysis of s... more The workshop gives a general introduction in statistical methods and models for the analysis of social networks. It is based upon the general question: How do we determine which type of statistical analysis is appropriate to analyze network data? To answer this question, statistical analyses are linked to research questions that are interesting from a statistical point of view (Huisman & van Duijn 2004): (1) How can properties of networks and actors be described, compared, and categorized? (2) How can the association between ties with one network and between networks on the one hand, and between network ties and actor characteristics on the other hand be described and modeled? (3) How do networks develop over time and influence each other? Statistical methods that can answer these kind of questions include, amongst others, exponential random graph models (van Duijn et al. 2004; Wasserman & Pattison 1996) and actor oriented model for network dynamics (Snijders 2001). The morning sessions of the workshop will focus on statistical network descriptives (like degrees, dyad and triad census, combined with distributional properties) and visualization techniques (as they are available in software packages, Huisman & van Duijn 2005). Also the analysis of relations within and between networks, and between networks and actors by using exponential random graph models will be discussed, as well as some other methods to answer the second research question. The afternoon starts with a session on the analysis of multiple networks and network dynamics, and ends with a tutorial on StOCNET (Boer et al. 2004), a free software program for the statistical analysis of social networks (Huisman & van Duijn 2003).
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