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Inferring monopartite projections of bipartite networks: an entropy-based approach

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Cited by:

  1. Tacchella, Andrea & Zaccaria, Andrea & Miccheli, Marco & Pietronero, Luciano, 2023. "Relatedness in the era of machine learning," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).
  2. Bernardo Caldarola & Dario Mazzilli & Lorenzo Napolitano & Aurelio Patelli & Angelica Sbardella, 2023. "Economic complexity and the sustainability transition: A review of data, methods, and literature," Papers 2308.07172, arXiv.org, revised Mar 2024.
  3. Marten Brienen & Lixia H. Lambert & Dayton M. Lambert & John Schoeneman, 2023. "A social network analysis approach to estimate export disruption spread in the US during the Covid-19 pandemic: how policy response and industry ties relate," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(4), pages 943-961, December.
  4. Frank Neffke & Angelica Sbardella & Ulrich Schetter & Andrea Tacchella, 2024. "Economic Complexity Analysis," Papers in Evolutionary Economic Geography (PEEG) 2430, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Oct 2024.
  5. Carattini, Stefano & Fankhauser, Sam & Gao, Jianjian & Gennaioli, Caterina & Panzarasa, Pietro, 2023. "What does network analysis teach us about international environmental cooperation?," Ecological Economics, Elsevier, vol. 205(C).
  6. Mary Sanford & Jamie Lorimer, 2022. "Veganuary and the vegan sausage (t)rolls: conflict and commercial engagement in online climate-diet discourse," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
  7. Francesco de Cunzo & Alberto Petri & Andrea Zaccaria & Angelica Sbardella, 2022. "The trickle down from environmental innovation to productive complexity," Papers 2206.07537, arXiv.org.
  8. Carolina Becatti & Guido Caldarelli & Renaud Lambiotte & Fabio Saracco, 2019. "Extracting significant signal of news consumption from social networks: the case of Twitter in Italian political elections," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-16, December.
  9. Mika J. Straka & Guido Caldarelli & Tiziano Squartini & Fabio Saracco, 2017. "From Ecology to Finance (and Back?): Recent Advancements in the Analysis of Bipartite Networks," Papers 1710.10143, arXiv.org.
  10. Jeroen van Lidth de Jeude & Riccardo Di Clemente & Guido Caldarelli & Fabio Saracco & Tiziano Squartini, 2019. "Reconstructing Mesoscale Network Structures," Complexity, Hindawi, vol. 2019, pages 1-13, January.
  11. Fessina, Massimiliano & Zaccaria, Andrea & Cimini, Giulio & Squartini, Tiziano, 2024. "Pattern-detection in the global automotive industry: A manufacturer-supplier-product network analysis," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
  12. Barucca, Paolo & Mahmood, Tahir & Silvestri, Laura, 2021. "Common asset holdings and systemic vulnerability across multiple types of financial institution," Journal of Financial Stability, Elsevier, vol. 52(C).
  13. Pinheiro, Cristina, 2025. "Relatedness and economic complexity as tools for industrial policy: Insights and limitations," Structural Change and Economic Dynamics, Elsevier, vol. 72(C), pages 1-10.
  14. Nicolò Barbieri & Davide Consoli & Lorenzo Napolitano & François Perruchas & Emanuele Pugliese & Angelica Sbardella, 2023. "Regional technological capabilities and green opportunities in Europe," The Journal of Technology Transfer, Springer, vol. 48(2), pages 749-778, April.
  15. Piero Mazzarisi & Adele Ravagnani & Paola Deriu & Fabrizio Lillo & Francesca Medda & Antonio Russo, 2022. "A machine learning approach to support decision in insider trading detection," Papers 2212.05912, arXiv.org.
  16. Matteo Bruno & Dario Mazzilli & Aurelio Patelli & Tiziano Squartini & Fabio Saracco, 2023. "Inferring comparative advantage via entropy maximization," Papers 2304.12245, arXiv.org.
  17. Stanislao Gualdi & Giulio Cimini & Kevin Primicerio & Riccardo Di Clemente & Damien Challet, 2016. "Statistically validated network of portfolio overlaps and systemic risk," Post-Print hal-01705092, HAL.
  18. Andrea Tacchella & Andrea Zaccaria & Marco Miccheli & Luciano Pietronero, 2021. "Relatedness in the Era of Machine Learning," Papers 2103.06017, arXiv.org.
  19. repec:osf:osfxxx:qwdxs_v1 is not listed on IDEAS
  20. Sabrina Aufiero & Giordano De Marzo & Angelica Sbardella & Andrea Zaccaria, 2023. "Mapping job complexity and skills into wages," Papers 2304.05251, arXiv.org.
  21. Aurelio Patelli & Andrea Zaccaria & Luciano Pietronero, 2021. "Universal Database for Economic Complexity," Papers 2110.00302, arXiv.org.
  22. Massimiliano Fessina & Andrea Tacchella & Andrea Zaccaria, 2025. "Product-level value chains from firm data: mapping trophic levels into economic growth," Papers 2505.01133, arXiv.org.
  23. Saurabh Mishra & Robert Koopman & Giuditta De-Prato & Anand Rao & Israel Osorio-Rodarte & Julie Kim & Nikola Spatafora & Keith Strier & Andrea Zaccaria, 2021. "AI Specialization for Pathways of Economic Diversification," Papers 2103.11042, arXiv.org.
  24. Zachary P Neal & Annabell Cadieux & Diego Garlaschelli & Nicholas J Gotelli & Fabio Saracco & Tiziano Squartini & Shade T Shutters & Werner Ulrich & Guanyang Wang & Giovanni Strona, 2024. "Pattern detection in bipartite networks: A review of terminology, applications, and methods," PLOS Complex Systems, Public Library of Science, vol. 1(2), pages 1-34, October.
  25. Angelica Sbardella & Andrea Zaccaria & Luciano Pietronero & Pasquale Scaramozzino, 2021. "Behind the Italian Regional Divide: An Economic Fitness and Complexity Perspective," LEM Papers Series 2021/30, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  26. Marco Bardoscia & Paolo Barucca & Stefano Battiston & Fabio Caccioli & Giulio Cimini & Diego Garlaschelli & Fabio Saracco & Tiziano Squartini & Guido Caldarelli, 2021. "The Physics of Financial Networks," Papers 2103.05623, arXiv.org.
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