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Luis E C Rocha

Personal Details

First Name:Luis
Middle Name:E C
Last Name:Rocha
Suffix:
RePEc Short-ID:pro1244
[This author has chosen not to make the email address public]
http://users.ugent.be/~lcorread

Affiliation

Vakgroep Economie
Faculteit Economie en Bedrijfskunde
Universiteit Gent

Gent, Belgium
https://www.ugent.be/eb/economics/en
RePEc:edi:varugbe (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Ruixue Jing & Luis Enrique Correa Rocha, 2023. "A network-based strategy of price correlations for optimal cryptocurrency portfolios," Papers 2304.02362, arXiv.org.
  2. Fatemeh Zarei & Yerali Gandica & Luis Enrique Correa Rocha, 2023. "Fast but multi-partisan: Bursts of communication increase opinion diversity in the temporal Deffuant model," Papers 2307.15614, arXiv.org.
  3. Luis E C Rocha & Petter Holme & Claudio D G Linhares, 2021. "The global migration network of sex-workers," Papers 2107.02633, arXiv.org.
  4. DELVENNE, Jean-Charles & LAMBIOTTE, Renaud & ROCHA, Luis E.C., 2015. "Diffusion on networked systems is a question of time or structure," LIDAM Reprints CORE 2673, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

Articles

  1. Jing, Ruixue & Rocha, Luis E.C., 2023. "A network-based strategy of price correlations for optimal cryptocurrency portfolios," Finance Research Letters, Elsevier, vol. 58(PC).
  2. Luis E C Rocha & Petter Holme & Claudio D G Linhares, 2022. "The global migration network of sex-workers," Journal of Computational Social Science, Springer, vol. 5(1), pages 969-985, May.
  3. Botte, Nina & Ryckebusch, Jan & Rocha, Luis E.C., 2022. "Clustering and stubbornness regulate the formation of echo chambers in personalised opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
  4. Andres M Belaza & Jan Ryckebusch & Koen Schoors & Luis E C Rocha & Benjamin Vandermarliere, 2020. "On the connection between real-world circumstances and online player behaviour: The case of EVE Online," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-15, October.
  5. Holme, Petter & Rocha, Luis E. C., 2019. "Impact of misinformation in temporal network epidemiology," Network Science, Cambridge University Press, vol. 7(1), pages 52-69, March.
  6. Luis E. C. Rocha & Anna E. Thorson & Renaud Lambiotte & Fredrik Liljeros, 2017. "Respondent-driven sampling bias induced by community structure and response rates in social networks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 99-118, January.
  7. Jean-Charles Delvenne & Renaud Lambiotte & Luis E. C. Rocha, 2015. "Diffusion on networked systems is a question of time or structure," Nature Communications, Nature, vol. 6(1), pages 1-10, November.
  8. Luis E C Rocha & Vincent D Blondel, 2013. "Bursts of Vertex Activation and Epidemics in Evolving Networks," PLOS Computational Biology, Public Library of Science, vol. 9(3), pages 1-9, March.
  9. Sungmin Lee & Luis E C Rocha & Fredrik Liljeros & Petter Holme, 2012. "Exploiting Temporal Network Structures of Human Interaction to Effectively Immunize Populations," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-10, May.
  10. Luis E C Rocha & Fredrik Liljeros & Petter Holme, 2011. "Simulated Epidemics in an Empirical Spatiotemporal Network of 50,185 Sexual Contacts," PLOS Computational Biology, Public Library of Science, vol. 7(3), pages 1-9, March.
  11. Bernhardsson, Sebastian & da Rocha, Luis Enrique Correa & Minnhagen, Petter, 2010. "Size-dependent word frequencies and translational invariance of books," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(2), pages 330-341.
  12. L. da F. Costa & L. E.C. da Rocha, 2006. "A generalized approach to complex networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 50(1), pages 237-242, March.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Ruixue Jing & Luis Enrique Correa Rocha, 2023. "A network-based strategy of price correlations for optimal cryptocurrency portfolios," Papers 2304.02362, arXiv.org.

    Cited by:

    1. Fakhfekh, Mohamed & Bejaoui, Azza & Bariviera, Aurelio F. & Jeribi, Ahmed, 2024. "Dependence structure between NFT, DeFi and cryptocurrencies in turbulent times: An Archimax copula approach," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    2. Nichanan Sakolvieng, 2024. "Optimizing Cryptocurrency Portfolios: A Comparative Study of Rebalancing Strategies," GATR Journals jfbr220, Global Academy of Training and Research (GATR) Enterprise.

  2. Luis E C Rocha & Petter Holme & Claudio D G Linhares, 2021. "The global migration network of sex-workers," Papers 2107.02633, arXiv.org.

    Cited by:

    1. Mbiba, Beacon & Mupfumira, Daisy, 2022. "Rising to the occasion: Diaspora remittances to Zimbabwe during the COVID-19 pandemic," World Development Perspectives, Elsevier, vol. 27(C).
    2. Schaumann, Sarah K. & Bergmann, Felix M. & Wagner, Stephan M. & Winkenbach, Matthias, 2023. "Route efficiency implications of time windows and vehicle capacities in first- and last-mile logistics," European Journal of Operational Research, Elsevier, vol. 311(1), pages 88-111.
    3. El yaakouby, Ichraq & Rhrissi, Ilyass & Abouliatim, Youness & Hlaibi, Miloudi & Kamil, Noureddine, 2023. "Moroccan sardine scales as a novel and renewable source of heterogeneous catalyst for biodiesel production using palm fatty acid distillate," Renewable Energy, Elsevier, vol. 217(C).
    4. Injy Johnstone, 2022. "Global governance and the Global Green New Deal: the G7’s role," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
    5. Benjamin Day & Tamas Wells, 2021. "What parliamentarians think about Australia's post‐COVID‐19 aid program: The emerging ‘cautious consensus’ in Australian aid," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 8(3), pages 384-400, September.
    6. Lavopa, Alejandro & Donnelly, Carolina, 2023. "Socioeconomic resilience during the COVID-19 pandemic. The role of industrial capabilities," Structural Change and Economic Dynamics, Elsevier, vol. 67(C), pages 44-57.
    7. Kang, Dongju & Kang, Doeun & Hwangbo, Sumin & Niaz, Haider & Lee, Won Bo & Liu, J. Jay & Na, Jonggeol, 2023. "Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning," Energy, Elsevier, vol. 284(C).
    8. Gabriel Felbermayr & Benjamin Bittschi & Josef Baumgartner, 2023. "Kollektivvertragsverhandlungen in Zeiten hoher Inflation," WIFO Monatsberichte (monthly reports), WIFO, vol. 96(9), pages 613-632, September.
    9. Radike, Monika & Zuromskis, Tadas, 2023. "Lithuanian physicians practising abroad: Reasons to leave and conditions to return to Lithuania. A survey," Health Policy, Elsevier, vol. 128(C), pages 75-83.
    10. Qushua, Najat & Smith-Appelson, Jesse & Sarraf, Danielle & Stark, Lindsay & Seff, Ilana, 2023. "Seeking approval first: Mental health care utilization and engagements among MENA adolescents in the United States," Children and Youth Services Review, Elsevier, vol. 155(C).
    11. Wifo, 2023. "WIFO-Monatsberichte, Heft 9/2023," WIFO Monatsberichte (monthly reports), WIFO, vol. 96(9), September.

  3. DELVENNE, Jean-Charles & LAMBIOTTE, Renaud & ROCHA, Luis E.C., 2015. "Diffusion on networked systems is a question of time or structure," LIDAM Reprints CORE 2673, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Lee, Sang Hoon & Holme, Petter, 2019. "Navigating temporal networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 288-296.
    2. Li, Mingwu & Dankowicz, Harry, 2019. "Impact of temporal network structures on the speed of consensus formation in opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1355-1370.
    3. Medvedev, Alexey & Kertesz, Janos, 2017. "Empirical study of the role of the topology in spreading on communication networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 12-19.
    4. Shapochkina, I.V. & Rozenbaum, V.M. & Sheu, S.-Y. & Yang, D.-Y. & Lin, S.H. & Trakhtenberg, L.I., 2019. "Relaxation high-temperature ratchets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 71-78.
    5. Peng Bao & Hua-Wei Shen & Junming Huang & Haiqiang Chen, 2018. "Mention effect in information diffusion on a micro-blogging network," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-13, March.
    6. Nikolaj Horsevad & David Mateo & Robert E. Kooij & Alain Barrat & Roland Bouffanais, 2022. "Transition from simple to complex contagion in collective decision-making," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    7. Luca Gallo & Lucas Lacasa & Vito Latora & Federico Battiston, 2024. "Higher-order correlations reveal complex memory in temporal hypergraphs," Nature Communications, Nature, vol. 15(1), pages 1-7, December.

Articles

  1. Jing, Ruixue & Rocha, Luis E.C., 2023. "A network-based strategy of price correlations for optimal cryptocurrency portfolios," Finance Research Letters, Elsevier, vol. 58(PC).
    See citations under working paper version above.
  2. Luis E C Rocha & Petter Holme & Claudio D G Linhares, 2022. "The global migration network of sex-workers," Journal of Computational Social Science, Springer, vol. 5(1), pages 969-985, May.
    See citations under working paper version above.
  3. Botte, Nina & Ryckebusch, Jan & Rocha, Luis E.C., 2022. "Clustering and stubbornness regulate the formation of echo chambers in personalised opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).

    Cited by:

    1. Etherton, Berea A. & Choudhury, R.A. & Alcalá-Briseño, R.I. & Xing, Y. & Plex Sulá, A.I. & Carrillo, D. & Wasielewski, J. & Stelinski, L.L. & Grogan, K.A. & Ballen, F. & Blare, T. & Crane, J. & Garret, 2023. "Are avocados toast? A framework to analyze decision-making for emerging epidemics, applied to laurel wilt," Agricultural Systems, Elsevier, vol. 206(C).

  4. Andres M Belaza & Jan Ryckebusch & Koen Schoors & Luis E C Rocha & Benjamin Vandermarliere, 2020. "On the connection between real-world circumstances and online player behaviour: The case of EVE Online," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-15, October.

    Cited by:

    1. Botte, Nina & Ryckebusch, Jan & Rocha, Luis E.C., 2022. "Clustering and stubbornness regulate the formation of echo chambers in personalised opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    2. Vidal-Tomás, David, 2023. "The illusion of the metaverse and meta-economy," International Review of Financial Analysis, Elsevier, vol. 86(C).

  5. Holme, Petter & Rocha, Luis E. C., 2019. "Impact of misinformation in temporal network epidemiology," Network Science, Cambridge University Press, vol. 7(1), pages 52-69, March.

    Cited by:

    1. Zuluaga, Sandra & Oviedo, Sandra & Muñoz, Santiago & Vargas, Luisa, 2023. "Recomendación para una estrategia nacional de pago por resultados," Informes de Investigación 21028, Fedesarrollo.
    2. Nikolaj Horsevad & David Mateo & Robert E. Kooij & Alain Barrat & Roland Bouffanais, 2022. "Transition from simple to complex contagion in collective decision-making," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    3. Obermeier, Tim, 2022. "Individual Welfare Analysis: What's the Role of Intra-Family Preference Heterogeneity?," VfS Annual Conference 2022 (Basel): Big Data in Economics 264101, Verein für Socialpolitik / German Economic Association.

  6. Luis E. C. Rocha & Anna E. Thorson & Renaud Lambiotte & Fredrik Liljeros, 2017. "Respondent-driven sampling bias induced by community structure and response rates in social networks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 99-118, January.

    Cited by:

    1. Botte, Nina & Ryckebusch, Jan & Rocha, Luis E.C., 2022. "Clustering and stubbornness regulate the formation of echo chambers in personalised opinion dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
    2. Ismael Sánchez-Borrego & María del Mar Rueda & Héctor Mullo, 2020. "Estimation of Non-Linear Parameters with Data Collected Using Respondent-Driven Sampling," Mathematics, MDPI, vol. 8(8), pages 1-10, August.

  7. Jean-Charles Delvenne & Renaud Lambiotte & Luis E. C. Rocha, 2015. "Diffusion on networked systems is a question of time or structure," Nature Communications, Nature, vol. 6(1), pages 1-10, November.
    See citations under working paper version above.
  8. Luis E C Rocha & Vincent D Blondel, 2013. "Bursts of Vertex Activation and Epidemics in Evolving Networks," PLOS Computational Biology, Public Library of Science, vol. 9(3), pages 1-9, March.

    Cited by:

    1. Eugenio Valdano & Chiara Poletto & Armando Giovannini & Diana Palma & Lara Savini & Vittoria Colizza, 2015. "Predicting Epidemic Risk from Past Temporal Contact Data," PLOS Computational Biology, Public Library of Science, vol. 11(3), pages 1-19, March.

  9. Luis E C Rocha & Fredrik Liljeros & Petter Holme, 2011. "Simulated Epidemics in an Empirical Spatiotemporal Network of 50,185 Sexual Contacts," PLOS Computational Biology, Public Library of Science, vol. 7(3), pages 1-9, March.

    Cited by:

    1. Heetae Kim & Petter Holme, 2015. "Network Theory Integrated Life Cycle Assessment for an Electric Power System," Sustainability, MDPI, vol. 7(8), pages 1-15, August.
    2. Jeffrey A. Smith & Jessica Burow, 2020. "Using Ego Network Data to Inform Agent-based Models of Diffusion," Sociological Methods & Research, , vol. 49(4), pages 1018-1063, November.
    3. Eugenio Valdano & Davide Colombi & Chiara Poletto & Vittoria Colizza, 2023. "Epidemic graph diagrams as analytics for epidemic control in the data-rich era," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    4. Yanjie Xu & Tao Ren & Shixiang Sun, 2021. "Identifying Influential Edges by Node Influence Distribution and Dissimilarity Strategy," Mathematics, MDPI, vol. 9(20), pages 1-13, October.
    5. Hong, Xiao & Han, Yuexing & Wang, Bing, 2023. "Impacts of detection and contact tracing on the epidemic spread in time-varying networks," Applied Mathematics and Computation, Elsevier, vol. 439(C).
    6. Liu, Kang & Yin, Ling & Ma, Zhanwu & Zhang, Fan & Zhao, Juanjuan, 2020. "Investigating physical encounters of individuals in urban metro systems with large-scale smart card data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    7. Zhao, Xiuming & Yu, Hongtao & Li, Shaomei & Liu, Shuxin & Zhang, Jianpeng & Cao, Xiaochun, 2022. "Effects of memory on spreading processes in non-Markovian temporal networks based on simplicial complex," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    8. Wang, Min & Li, Wanchun & Guo, Yuning & Peng, Xiaoyan & Li, Yingxiang, 2020. "Identifying influential spreaders in complex networks based on improved k-shell method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    9. Petter Holme, 2021. "Fast and principled simulations of the SIR model on temporal networks," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-15, February.
    10. Eugenio Valdano & Chiara Poletto & Armando Giovannini & Diana Palma & Lara Savini & Vittoria Colizza, 2015. "Predicting Epidemic Risk from Past Temporal Contact Data," PLOS Computational Biology, Public Library of Science, vol. 11(3), pages 1-19, March.
    11. Hao, Hongchang & Xing, Wanli & Wang, Anjian & Song, Hao & Han, Yawen & Zhao, Pei & Xie, Ziqi & Chen, Xuemei, 2022. "Multi-layer networks research on analyzing supply risk transmission of lithium industry chain," Resources Policy, Elsevier, vol. 79(C).
    12. Anirban Dasgupta & Srijan Sengupta, 2022. "Scalable Estimation of Epidemic Thresholds via Node Sampling," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(1), pages 321-344, June.
    13. Luis E C Rocha & Vincent D Blondel, 2013. "Bursts of Vertex Activation and Epidemics in Evolving Networks," PLOS Computational Biology, Public Library of Science, vol. 9(3), pages 1-9, March.

  10. Bernhardsson, Sebastian & da Rocha, Luis Enrique Correa & Minnhagen, Petter, 2010. "Size-dependent word frequencies and translational invariance of books," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(2), pages 330-341.

    Cited by:

    1. Çavuşoğlu, Abdullah & Türker, İlker, 2014. "Patterns of collaboration in four scientific disciplines of the Turkish collaboration network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 220-229.
    2. Yan, Xiaoyong & Minnhagen, Petter, 2016. "Randomness versus specifics for word-frequency distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 828-837.
    3. Yan, Xiaoyong & Minnhagen, Petter, 2018. "The dependence of frequency distributions on multiple meanings of words, codes and signs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 554-564.

  11. L. da F. Costa & L. E.C. da Rocha, 2006. "A generalized approach to complex networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 50(1), pages 237-242, March.

    Cited by:

    1. Costa, Luciano da Fontoura & Rodrigues Tognetti, Marilza A. & Silva, Filipi Nascimento, 2008. "Concentric characterization and classification of complex network nodes: Application to an institutional collaboration network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(24), pages 6201-6214.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-NET: Network Economics (2) 2021-07-19 2023-08-28
  2. NEP-PAY: Payment Systems and Financial Technology (2) 2023-05-15 2023-08-28
  3. NEP-EVO: Evolutionary Economics (1) 2023-08-28
  4. NEP-INT: International Trade (1) 2021-07-19
  5. NEP-MIG: Economics of Human Migration (1) 2021-07-19
  6. NEP-RMG: Risk Management (1) 2023-05-15
  7. NEP-URE: Urban and Real Estate Economics (1) 2023-08-28

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