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Nucleation phenomena and extreme vulnerability of spatial k-core systems.
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- Nature Communications, 2024, v. 15, n. 1, p. 1, doi. 10.1038/s41467-024-50273-5
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Nucleation phenomena and extreme vulnerability of spatial k-core systems.
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- Nature Communications, 2024, v. 15, n. 1, p. 1, doi. 10.1038/s41467-024-50273-5
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Spatial Constraints on Economic Interactions: A Complexity Approach to the Japanese Inter-Firm Trade Network.
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- Mathematics (2227-7390), 2024, v. 12, n. 8, p. 1244, doi. 10.3390/math12081244
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Spatiotemporal dynamics of traffic bottlenecks yields an early signal of heavy congestions.
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- Nature Communications, 2023, v. 14, n. 1, p. 1, doi. 10.1038/s41467-023-43591-7
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- Article
Percolation Theories for Quantum Networks.
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- Entropy, 2023, v. 25, n. 11, p. 1564, doi. 10.3390/e25111564
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Percolation framework reveals limits of privacy in conspiracy, dark web, and blockchain networks.
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- EPJ Data Science, 2023, v. 12, n. 1, p. 1, doi. 10.1140/epjds/s13688-023-00392-8
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Sustaining a network by controlling a fraction of nodes.
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- Communications Physics, 2023, v. 6, n. 1, p. 1, doi. 10.1038/s42005-023-01138-8
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Teleconnections among tipping elements in the Earth system.
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- Nature Climate Change, 2023, v. 13, n. 1, p. 67, doi. 10.1038/s41558-022-01558-4
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Topological–temporal properties of evolving networks.
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- Journal of Complex Networks, 2022, v. 10, n. 5, p. 1, doi. 10.1093/comnet/cnac041
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Concurrence percolation threshold of large-scale quantum networks.
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- Communications Physics, 2022, v. 5, n. 1, p. 1, doi. 10.1038/s42005-022-00958-4
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Identification, cost evaluation, and prioritization of urban traffic congestions and their origin.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-17404-8
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- Article
Discrimination reveals reconstructability of multiplex networks from partial observations.
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- Communications Physics, 2022, v. 5, n. 1, p. 1, doi. 10.1038/s42005-022-00928-w
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Three Decades in Econophysics—From Microscopic Modelling to Macroscopic Complexity and Back.
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- Entropy, 2022, v. 24, n. 2, p. 271, doi. 10.3390/e24020271
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Spatial correlations in geographical spreading of COVID-19 in the United States.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-021-04653-2
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Effects of mobility restrictions during COVID19 in Italy.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-01076-x
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Universal scaling of human flow remain unchanged during the COVID-19 pandemic.
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- Applied Network Science, 2021, v. 6, n. 1, p. 1, doi. 10.1007/s41109-021-00416-0
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Asymmetry in Earthquake Interevent Time Intervals.
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- Journal of Geophysical Research. Solid Earth, 2021, v. 126, n. 9, p. 1, doi. 10.1029/2021JB022454
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Connectivity of EEG synchronization networks increases for Parkinson's disease patients with freezing of gait.
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- Communications Biology, 2021, v. 4, n. 1, p. 1, doi. 10.1038/s42003-021-02544-w
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Unveiling the nature of interaction between semantics and phonology in lexical access based on multilayer networks.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-93925-y
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Systemic stress test model for shared portfolio networks.
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- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-82904-y
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Robust Characterization of Multidimensional Scaling Relations between Size Measures for Business Firms.
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- Entropy, 2021, v. 23, n. 2, p. 168, doi. 10.3390/e23020168
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Efficient network immunization under limited knowledge.
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- National Science Review, 2021, v. 8, n. 1, p. 1, doi. 10.1093/nsr/nwaa229
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Universal scaling laws of collective human flow patterns in urban regions.
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- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-77163-2
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Predictability of real temporal networks.
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- National Science Review, 2020, v. 7, n. 5, p. 929, doi. 10.1093/nsr/nwaa015
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Fake news propagates differently from real news even at early stages of spreading.
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- EPJ Data Science, 2020, v. 9, n. 1, p. 1, doi. 10.1140/epjds/s13688-020-00224-z
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Cascading failures in complex networks.
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- Journal of Complex Networks, 2020, v. 8, n. 2, p. 1, doi. 10.1093/comnet/cnaa013
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- Article
Significant Impact of Rossby Waves on Air Pollution Detected by Network Analysis.
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- Geophysical Research Letters, 2019, v. 46, n. 21, p. 12476, doi. 10.1029/2019GL084649
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Identifying the most influential roads based on traffic correlation networks.
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- EPJ Data Science, 2019, v. 8, n. 1, p. N.PAG, doi. 10.1140/epjds/s13688-019-0207-7
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Increasing trend of scientists to switch between topics.
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- Nature Communications, 2019, v. 10, n. 1, p. N.PAG, doi. 10.1038/s41467-019-11401-8
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Identifying long-term periodic cycles and memories of collective emotion in online social media.
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- PLoS ONE, 2019, v. 14, n. 3, p. 1, doi. 10.1371/journal.pone.0213843
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Forecasting the magnitude and onset of El Niño based on climate network.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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A comparative analysis of approaches to network-dismantling.
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- Scientific Reports, 2018, v. 8, n. 1, p. 1, doi. 10.1038/s41598-018-31902-8
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Debunking in a world of tribes.
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- PLoS ONE, 2017, v. 12, n. 7, p. 1, doi. 10.1371/journal.pone.0181821
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Testing reanalysis data sets in Antarctica: Trends, persistence properties, and trend significance.
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- Journal of Geophysical Research. Atmospheres, 2016, v. 121, n. 21, p. 12,839, doi. 10.1002/2016JD024864
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Multiple tipping points and optimal repairing in interacting networks.
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- Nature Communications, 2016, v. 7, n. 3, p. 10850, doi. 10.1038/ncomms10850
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Spatio-temporal propagation of cascading overload failures in spatially embedded networks.
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- Nature Communications, 2016, v. 7, n. 1, p. 10094, doi. 10.1038/ncomms10094
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Corrigendum: Origins of power-law degree distribution in the heterogeneity of human activity in social networks.
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- Scientific Reports, 2015, p. 15932, doi. 10.1038/srep15932
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Long-Range Correlations and Memory in the Dynamics of Internet Interdomain Routing.
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- PLoS ONE, 2015, v. 10, n. 10, p. 1, doi. 10.1371/journal.pone.0141481
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Recent Progress on the Resilience of Complex Networks.
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- Energies (19961073), 2015, v. 8, n. 10, p. 12187, doi. 10.3390/en81012187
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Competing for Attention in Social Media under Information Overload Conditions.
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- PLoS ONE, 2015, v. 10, n. 7, p. 1, doi. 10.1371/journal.pone.0126090
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How does public opinion become extreme?
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- Scientific Reports, 2015, p. 10032, doi. 10.1038/srep10032
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Localized attacks on spatially embedded networks with dependencies.
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- Scientific Reports, 2015, p. 8934, doi. 10.1038/srep08934
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From a single network to a network of networks.
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- National Science Review, 2014, v. 1, n. 3, p. 346, doi. 10.1093/nsr/nwu020
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Spatial correlation analysis of cascading failures: Congestions and Blackouts.
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- Scientific Reports, 2014, p. 1, doi. 10.1038/srep05381
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Spontaneous recovery in dynamical networks.
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- Nature Physics, 2014, v. 10, n. 1, p. 34, doi. 10.1038/nphys2819
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The extreme vulnerability of interdependent spatially embedded networks.
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- Nature Physics, 2013, v. 9, n. 10, p. 667, doi. 10.1038/nphys2727
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Efficient Learning Strategy of Chinese Characters Based on Network Approach.
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- PLoS ONE, 2013, v. 8, n. 8, p. 1, doi. 10.1371/journal.pone.0069745
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Towards designing robust coupled networks.
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- Scientific Reports, 2013, p. 1, doi. 10.1038/srep01969
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Non-consensus Opinion Models on Complex Networks.
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- Journal of Statistical Physics, 2013, v. 151, n. 1/2, p. 92, doi. 10.1007/s10955-012-0625-4
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Nonlinear dynamics: New tricks for big kicks.
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- Nature Physics, 2013, v. 9, n. 2, p. 69, doi. 10.1038/nphys2539
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