{"id":35186,"date":"2022-06-14T17:45:42","date_gmt":"2022-06-14T09:45:42","guid":{"rendered":"https:\/\/swarma.org\/?p=35186"},"modified":"2022-06-14T17:45:42","modified_gmt":"2022-06-14T09:45:42","slug":"%e5%8d%95%e7%ba%af%e5%a4%8d%e5%bd%a2%e9%87%8d%e6%9e%84%ef%bc%9a%e5%a6%82%e4%bd%95%e4%bb%8e%e6%95%b0%e6%8d%ae%e4%b8%ad%e5%8f%91%e7%8e%b0%e5%a4%8d%e6%9d%82%e7%bd%91%e7%bb%9c%e6%bd%9c%e5%9c%a8%e9%ab%98","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=35186","title":{"rendered":"\u5355\u7eaf\u590d\u5f62\u91cd\u6784\uff1a\u5982\u4f55\u4ece\u6570\u636e\u4e2d\u53d1\u73b0\u590d\u6742\u7f51\u7edc\u6f5c\u5728\u9ad8\u9636\u5173\u7cfb\uff1f"},"content":{"rendered":"
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Full reconstruction of simplicial complexes from binary contagion and Ising data<\/span><\/p>\n

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2. \u91cd\u6784\u5355\u7eaf\u590d\u5f62\u7684\u603b\u4f53\u6846\u67b6<\/span><\/strong><\/strong><\/p>\n<\/section>\n

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[1] Battiston, F. et al. Networks beyond pairwise interactions: structure and dynamics. Phys. Rep. 874, 1\u201392 (2020).<\/span><\/section>\n
[2] Battiston, F. et al. The physics of higher-order interactions in complex systems. Nat. Phys. 17, 1093\u20131098 (2021).<\/span><\/section>\n
[3] Iacopini, I., Petri, G., Barrat, A. & Latora, V. Simplicial models of social contagion. Nat. Commun. 10, 1\u20139 (2019).<\/span><\/section>\n
[4] Carletti, T., Battiston, F., Cencetti, G. & Fanelli, D. Random walks on hypergraphs. Phys. Rev. E 101, 022308 (2020).<\/span><\/section>\n
[5] Young, J.-G., Petri, G. & Peixoto, T. P. Hypergraph reconstruction from network data. Commun. Phys. 4, 135 (2021).<\/span><\/section>\n
[6] Cipra, B. A. An introduction to the Ising model. Am. Ma. Mon. 94, 937\u2013959 (1987).<\/span><\/section>\n
[7] Dempster, A. P., Laird, N. M. & Rubin, D. B. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B Method. 39, 1\u201322 (1977).<\/span><\/section>\n
[8] Ma, C., Chen, H.-S., Lai, Y.-C. & Zhang, H.-F. Statistical inference approach to structural reconstruction of complex networks from binary time series. Phys. Rev. E 97, 022301 (2018).<\/span><\/section>\n
[9] Wang, W.-X., Yang, R., Lai, Y.-C., Kovanis, V. & Harrison, M. A. F. Time-series based prediction of complex oscillator networks via compressive sensing. EPL (Europhys. Lett.) 94,<\/span><\/section>\n
48006 (2011).<\/span><\/section>\n
[10] Ma, L., Han, X., Shen, Z., Wang, W.-X. & Di, Z. Efficient reconstruction of heterogeneous networks from time series via compressed sensing. PloS One 10, e0142837 (2015).<\/span><\/section>\n

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