<b>statnet</b>: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data

Handcock, Mark S.; Hunter, David R.; Butts, Carter T.; Goodreau, Steven M.; Morris, Martina

doi:10.18637/jss.v024.i01

Cited by 762 publications

(634 citation statements)

References 24 publications

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“…All analyses were performed in R version 3.3.3 (R Core Team 2016) using the statnet suite of packages, version 2016.4 Handcock and Hunter 2016). All code and data are archived at https://github.com/ michaellevy/ViticultureNetworks-REC.…”

Section: Methodsmentioning

confidence: 99%

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Innovation, cooperation, and the structure of three regional sustainable agriculture networks in California

Levy

Lubell

2017

Reg Environ Change

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Regional agroecological systems are examples of complex adaptive systems, where sustainability is promoted by social networks that facilitate information sharing, cooperation, and connectivity among specialized components of the system. Much of the existing literature on social capital fails to recognize how networks support multiple social processes. Our paper overcomes this problem by analyzing how the social networks of wine grape growers exhibit structural features related to multiple social processes: ties to central actors that build bridging social capital and facilitate the diffusion of innovations, ties that close triangles and build bonding social capital to solve cooperation dilemmas, and ties to individuals that span community boundaries to connect specialized components of the system. We use survey data to measure the communication networks of growers in three viticulture regions in California. A combination of descriptive statistics, conditional uniform random graph tests, and exponential random graph models provides empirical support for our hypotheses. The findings reflect regional differences in geography and institutional histories, which may influence the capacity to respond to regional environmental change.

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Section: Methodsmentioning

confidence: 99%

“…Parameter estimates were obtained via Markov chain Monte Carlo (MCMC) maximum likelihood estimation Handcock and Hunter 2016). Details of estimation, MCMC traces, and goodness-of-fit diagnostics are presented in Online Resource 1.…”

Section: Exponential Random Graph Modelsmentioning

confidence: 99%

Innovation, cooperation, and the structure of three regional sustainable agriculture networks in California

Levy

Lubell

2017

Reg Environ Change

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“…For static snapshots as figure 7 and 8 in table 2 this does not pose a problem as the temporal aspect cannot be included any way, but obviously to track metrics over time this is needed. To visualize the dynamic aspect socalled networkDynamic objects of the two lessons were created with the statnet package in R (Handcock, Hunter, Butts, Goodreau, Krivitsky, Bender-deMoll, and Morris 2014).…”

Section: Analysis Bmentioning

confidence: 99%

Exploring classroom interaction with dynamic social network analysis

Bokhove

2016

International Journal of Research & Method in Education

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This article reports on an exploratory project in which technology and dynamic social network analysis (SNA) are used for modelling classroom interaction.SNA focuses on the links between social actors, draws on graphic imagery to reveal and display the patterning of those links, and develops mathematical and computational models to describe and explain those patterns (Freeman 2004).Dynamic SNA extends SNA and builds on previous research on network change (e.g. Moody, McFarland, and Bender-deMoll 2005). Utilizing data from six videos from the TIMSS video study (Hiebert et al. 2003) and a convenience sample of five observations of one teacher in a secondary school in the south of England, a methodology for dynamic SNA was applied to classroom interaction data. The results are in two ways relevant for this journal. Firstly, they show that recent developments in social network analysis might be usefully applied to furthering knowledge about the dynamics of classroom interaction. Secondly, the results provide an example of the use of tablet technology for fieldwork data collection.

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“…• The latentnet package (version 2.5.1) [16,17], which is part of the statnet suite of packages [9], provides comprehensive toolsets for Bayesian analysis for latent position and cluster network models using MCMC procedures.…”

Section: R-based Software Toolsmentioning

confidence: 99%

Bayesian Computational Algorithms for Social Network Analysis

Caimo

Gollini

2016

Computational Network Analysis With R

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Interest in statistical network analysis has grown massively in recent decades and its perspective and methods are now widely used in many scientific areas which involve the study of various types of networks for representing structure in many complex relational systems such as social relationships, information flows, protein interactions, etc.Social network analysis is based on the study of social relations between actors so as to understand the formation of social structures by the analysis of basic local relations. Statistical models have started to play an increasingly important role because they give the possibility to explain the complexity of social behaviour and to investigate issues on how the global features of an observed network may be related to local network structures. The observed network is assumed to be generated by local social processes which depend on the self-organising dyadic relations between actors. The crucial challenge for statistical models in social network theory is to capture and describe the dependency giving rise to network global topology allowing inference about whether certain local structures are more common than expected.Unfortunately the computational burden required to estimate these models is the main barrier to estimation. Recent theoretical developments and advances in approximate procedures have given the possibility to make important progress to overcome statistical inference problems.

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statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data

Cited by 762 publications

References 24 publications

Innovation, cooperation, and the structure of three regional sustainable agriculture networks in California

Innovation, cooperation, and the structure of three regional sustainable agriculture networks in California

Exploring classroom interaction with dynamic social network analysis

Bayesian Computational Algorithms for Social Network Analysis

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