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dynamic hypergraph representations in temporal interaction data. | ||
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in directed networks. Physical Review E, 109, 034310. | ||
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Review Research, 6, 033307. | ||
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<doi>10.48550/arXiv.2409.06417</doi> | ||
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nonparametric inference of network backbones for graph sparsification. | ||
arXiv:2409.06417. | ||
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<volume_title>Network science</volume_title> | ||
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<volume_title>Networks</volume_title> | ||
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University Press. | ||
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<issue>3-5</issue> | ||
<volume>486</volume> | ||
<doi>10.1016/j.physrep.2009.11.002</doi> | ||
<cYear>2010</cYear> | ||
<unstructured_citation>Fortunato, S. (2010). Community | ||
detection in graphs. Physics Reports, 486(3-5), 75–174. | ||
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<journal_title>Nature Communications</journal_title> | ||
<issue>1</issue> | ||
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<doi>10.1038/s41467-022-34267-9</doi> | ||
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Domenico, M. (2022). Statistical inference links data and theory in | ||
network science. Nature Communications, 13(1), 6794. | ||
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<article_title>Clustering of heterogeneous populations of | ||
networks</article_title> | ||
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<journal_title>Physical Review E</journal_title> | ||
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<volume>105</volume> | ||
<doi>10.1103/physreve.105.014312</doi> | ||
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<unstructured_citation>Young, J.-G., Kirkley, A., & | ||
Newman, M. E. (2022). Clustering of heterogeneous populations of | ||
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<citation key="battiston2021physics"> | ||
<article_title>The physics of higher-order interactions in | ||
complex systems</article_title> | ||
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<journal_title>Nature Physics</journal_title> | ||
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<doi>10.1038/s41567-021-01371-4</doi> | ||
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Kéfi, S., Latora, V., Moreno, Y., & others. (2021). The physics of | ||
higher-order interactions in complex systems. Nature Physics, 17(10), | ||
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<article_title>Node metadata can produce predictability | ||
crossovers in network inference problems</article_title> | ||
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