194
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Graphical models for complex networks: an application to Italian museums

, &
Pages 2020-2038 | Received 22 Feb 2016, Accepted 14 Nov 2017, Published online: 29 Nov 2017

References

  • S. Bagdadli, Museum and theatre networks in Italy: Determinants and typology, Int. J. Art. Manage. 6 (2003), pp. 19–29.
  • C.T. Butts, SNA: Tools for Social Network Analysis, R package version 2.2-0; 2010.
  • C. Chow and C. Liu, Approximating discrete probability distributions with dependence trees, IEEE Trans. Inform. Theory 14 (1968), pp. 462–467. doi: 10.1109/TIT.1968.1054142
  • C. Coscia, R. Fontana, and P. Semeraro, Market basket analysis for studying cultural consumer beahviour: AMTP card-holders, Stat. Appl. Italian J. Appl. Stat. 26 (2016), pp. 73–92.
  • F. Cugnata, R.S. Kenett, and S. Salini, Bayesian networks in survey data: Robustness and sensitivity issues, J. Qual. Technol. 48 (2016), pp. 253–264. doi: 10.1080/00224065.2016.11918165
  • R. Daly and Q. Shen, Methods to accelerate the learning of Bayesian network structures, Proceedings of the 2007 UK Workshop on Computational Intelligence, Citeseer, Hatfield, Hertfordshire, UK, 2007.
  • G.C. de Abreu, R. Labouriau, and D. Edwards, High-dimensional graphical model search with the gRapHD R package, J. Stat. Softw. 37 (2010), pp. 1–18. doi: 10.18637/jss.v037.i01
  • D. Edwards, G.C. de Abreu, and R. Labouriau, Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests, BMC Bioinformatics 11 (2010), pp. 18–10. doi: 10.1186/1471-2105-11-18
  • D. Koller and N. Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press, Cambridge, Massachussets, 2009.
  • S.L. Lauritzen, A.P. Dawid, B.N. Larsen, and H.G. Leimer, Independence properties of directed Markov fields, Networks 20 (1990), pp. 491–505. doi: 10.1002/net.3230200503
  • B. Li, H. Chun and H. Zhao, Sparse estimation of conditional graphical models with application to gene networks, J. Am. Stat. Assoc. 107 (2012), pp. 152–167. doi: 10.1080/01621459.2011.644498
  • J. Pearl and T. Verma, The Logic of Representing Dependencies by Directed Graphs, University of California. Computer Science Department, Los Angeles, 1987.
  • S. Salini and R.S. Kenett, Bayesian networks of customer satisfaction survey data, J. Appl. Stat. 36 (2009), pp. 1177–1189. doi: 10.1080/02664760802587982
  • L. Scrofani and L. Ruggiero, Museum networks in the Mediterranean area: Real and virtual opportunities, J. Cult. Herit. 14 (2013), pp. S75–S79. doi: 10.1016/j.culher.2012.11.016
  • M. Scutari, Learning Bayesian networks with the bnlearn R package, J. Stat. Softw. 35 (2010). doi: 10.18637/jss.v035.i03.
  • M. Scutari and R. Nagarajan, On Identifying Significant Edges in Graphical Models, Proceedings of Workshop on Probabilistic Problem Solving in Biomedicine. Bled, Slovenia, Springer-Verlag, 2011.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.