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A statnet Tutorial

Author

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

Abstract

The statnet suite of R packages contains a wide range of functionality for the statistical analysis of social networks, including the implementation of exponential-family random graph (ERG) models. In this paper we illustrate some of the functionality of statnet through a tutorial analysis of a friendship network of 1,461 adolescents.

Suggested Citation

  • Goodreau, Steven M. & Handcock, Mark S. & Hunter, David R. & Butts, Carter T. & Morris, Martina, 2008. "A statnet Tutorial," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i09).
    • Handle: RePEc:jss:jstsof:v:024:i09
    DOI: http://hdl.handle.net/10.18637/jss.v024.i09
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    References listed on IDEAS

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    1. Hunter, David R. & Handcock, Mark S. & Butts, Carter T. & Goodreau, Steven M. & Morris, Martina, 2008. "ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i03).
    2. Morris, Martina & Handcock, Mark S. & Hunter, David R., 2008. "Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i04).
    3. Handcock, Mark S. & Hunter, David R. & Butts, Carter T. & Goodreau, Steven M. & Morris, Martina, 2008. "statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i01).
    4. Stanley Wasserman & Philippa Pattison, 1996. "Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 401-425, September.
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    Cited by:

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    3. Fischer, Manuel, 2015. "Collaboration patterns, external shocks and uncertainty: Swiss nuclear energy politics before and after Fukushima," Energy Policy, Elsevier, vol. 86(C), pages 520-528.
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    5. Duy Dang-Pham & Siddhi Pittayachawan & Vince Bruno & Karlheinz Kautz, 2019. "Investigating the diffusion of IT consumerization in the workplace: A case study using social network analysis," Information Systems Frontiers, Springer, vol. 21(4), pages 941-955, August.
    6. Angel Ortiz-Pelaez & Getaneh Ashenafi & Francois Roger & Agnes Waret-Szkuta, 2012. "Can Geographical Factors Determine the Choices of Farmers in the Ethiopian Highlands to Trade in Livestock Markets?," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-11, February.
    7. Luca De Benedictis & Silvia Nenci & Gianluca Santoni & Lucia Tajoli & Claudio Vicarelli, 2014. "Network Analysis of World Trade using the BACI-CEPII Dataset," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 14(03n04), pages 287-343, October.
    8. Joshua Daniel Loyal & Yuguo Chen, 2020. "Statistical Network Analysis: A Review with Applications to the Coronavirus Disease 2019 Pandemic," International Statistical Review, International Statistical Institute, vol. 88(2), pages 419-440, August.
    9. Peter R. Herman, 2022. "Modeling complex network patterns in international trade," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(1), pages 127-179, February.
    10. André Spithoven & Jef Vlegels & Walter Ysebaert, 2021. "Commercializing academic research: a social network approach exploring the role of regions and distance," The Journal of Technology Transfer, Springer, vol. 46(4), pages 1196-1231, August.
    11. Olivier Sire & Salim Lardjane, 2014. "VORTEX, a dedicated tool for the development of territorial intelligence based on a systemic approach of the social network for innovation in Brittany [VORTEX, un outil d'intelligence territoriale ," Working Papers hal-01098549, HAL.
    12. Morris, Martina & Handcock, Mark S. & Hunter, David R., 2008. "Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i04).
    13. Brooke Foucault Welles & Noshir Contractor, 2015. "Individual Motivations and Network Effects," The ANNALS of the American Academy of Political and Social Science, , vol. 659(1), pages 180-190, May.
    14. Manajit Chakraborty & Maksym Byshkin & Fabio Crestani, 2020. "Patent citation network analysis: A perspective from descriptive statistics and ERGMs," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-28, December.
    15. Kotyrlo , Elena, 2017. "Social network sites: What users post and to whom they address. Some approaches to the study," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 47, pages 74-99.
    16. Cornelius Fritz & Michael Lebacher & Göran Kauermann, 2020. "Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 275-299, August.
    17. Tom Broekel & Pierre-Alexandre Balland & Martijn Burger & Frank Oort, 2014. "Modeling knowledge networks in economic geography: a discussion of four methods," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 423-452, September.
    18. Gallemore, Caleb & Jespersen, Kristjan, 2016. "Transnational Markets for Sustainable Development Governance: The Case of REDD+," World Development, Elsevier, vol. 86(C), pages 79-94.

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