[1] Lü L, Chen D, Ren X, et al. Vital nodes identification in complex networks[J]. Physics Reports, 2016, 650: 1-63.
[2] 任晓龙,吕琳媛.网络重要节点排序方法综述[J].科学通报, 2014, 59(13): 1175-1197.
Ren Xiaolong, Lü Linyuan. Review of ranking nodes in complex networks[J]. Chinese Science Bulletin, 2014, 59(13): 1175-1197.
[3] 刘建国,任卓明,郭强,等.复杂网络中节点重要性排序的研究进展[J].物理学报, 2013, 62(17): 9-18.
Liu Jianguo, Ren Zhuoming, Guo Qiang, et al. Comprehensive survey for the frontier disciplines node importance ranking of complex networks[J]. Acta Physica Sinica, 2013, 62(17): 9-18.
[4] 陈诗,任卓明,刘闯,等.时序网络中关键节点的识别方法研究进展[J].电子科技大学学报,2020,49(2):291-314.
Chen Shi, Ren Zhuoming, Liu Chuang, et al. Identification methods of vital nodes on temporal networks[J].Journal of University of Electronic Science and Technology of China, 2020,49(2):291-314.
[5] Keeling M J, Rohani P, Pourbohloul B. Modeling infectious diseases in humans and animals[J]. Clinical Infectious Diseases, 2008, 47(6):864-865.
[6] Moreno Y, NeKovee M, Pacheco A F. Dynamics of rumor spreading in complex networks[J]. Physical Review E, 2004, 69(6): 066130.
[7] Albert R, Nakarado G L. Structural vulnerability of the north American power grid[J]. Physical Review E,2004,69(2), 025103.
[8] Newman M E J. The structure and function of complex network[DB/OL]. (2003-03-25)[2020-03-20].https:∥arXiv.org/abs/cond-mat/0303516.
[9] Dorogovtsev S N, Mendes J F F. Evolution of networks[J]. Advances in Physics, 2002, 51(4):1079-1187.
[10] Strogatz S H. Exploring complex networks[J]. Nature, 2001,410(6825): 268-276.
[11] 吕琳媛,陆君安,张子柯,等.复杂网络观察[J].复杂系统与复杂性科学,2010, 7(1): 173-186.
Lü Linyuan, Lu Junan, Zhang Zike, et al. Looking into complex networks[J].Complex Systems and Complexity Science, 2010, 7(1): 173-186.
[12] Lü L, Zhou T, Zhang Q M, et al. The H-index of a network node and its relation to degree and coreness[J]. Nature Communications, 2016, 7: 10168.
[13] Li Z, Ren T, Ma X Q, et al. Identifying influential spreaders by gravity model[J]. Scientific Reports, 2019, 9: 8387.
[14] 卢鹏丽,郭旭东,董璊,等.基于介度熵的复杂网络节点重要度识别方法[J].兰州理工大学学报,2020,46(2):111-115.
Lu Pengli, Guo Xudong, Dong Men, et al. Importance identification method of complex network nodes based on betweenness and degree entropy[J]. Journal of Lanzhou University of Technology, 2020,46(2):111-115.
[15] 李亚飞,梁琛,戴福青.航路网关键节点识别及抗毁性分析[J].中国安全科学学报,2020, 30(5) : 115-121.
Li Yafei, Liang Chen, Dai Fuqing. Key node identification and invulnerability analysis of China’s air route network[J]. China Safety Science Journal, 2020, 30(5) : 115-121.
[16] Kistak M, Gallos L K, Havlin S, et al. Identification of influential spreaders in complex networks[J]. Nature Physics, 2010, 6(11): 888-893.
[17] Zeng A, Zhang C J. Ranking spreaders by decomposing complex networks[J]. Physics Letters A, 2013, 377(14): 1031-1035.
[18] 王凯莉,邬春学,艾均,等.基于多阶邻居壳数的向量中心性度量方法[J].物理学报,2019,68(19):235-245.
Wang Kaili, Wu Chunxue, Ai Jun, et al. Complex network centrality method based on multi-order K-shell vector[J]. Acta Physica Sinica, 2019, 68(19):235-245.
[19] Yu Y, Jing M, Zhao N, et al. Lowest degree decomposition of complex networks[DB/OL].[2020-01-15].http:∥arXiv:2002.05358.
[20] 黄丽亚,汤平川,霍宥良,等.基于加权K-阶传播数的节点重要性[J].物理学报, 2019, 68(12): 128901.
Huang Liya, Tang Pingchuan, Huo Youliang, et al. Node importance based on the weighted K-order propagation number algorithm[J]. Acta Physica Sinica, 2019, 68(12): 128901.
[21] Neubauer N, Obermayer K. Hyperincident connected components of tagging networks[C].Proceedings of the 20th ACM Conference on Hypertext and Hypermedia. New York: ACM Press, 2009: 229-238.
[22] Estrada E, Rodríguez-Velázquez J A. Subgraph centrality and clustering in complex hyper-networks[J]. Physica A, 2006, 364: 581-594.
[23] 王志平,王众托.超网络理论及其应用[M]. 北京: 科学出版社,2008: 206-222.
[24] Liu J G, Yang G Y, Hu Z L. A knowledge generation model via the hypernetwork[J]. PLoS One, 2014, 9(3): e89746.
[25] 胡枫,赵海兴,马秀娟.一种超网络模型构建及特性分析[J].中国科学:物理学 力学 天文学,2013, 43(1): 16-22.
Hu Feng, Zhao Haixing, Ma Xiujuan. An evolving hypernetwork model and its properties[J]. Chinese Science: Physica,Mechanica＆Astronomica, 2013, 43(1): 16-22.
[26] 郭进利,祝昕昀.超网络中标度律的涌现[J].物理学报,2014, 63(9):55-61.
Guo Jinli, Zhu Xinyun. Emergence of scaling in hypernetworks[J]. Acta Physica Sinica, 2014, 63(9):55-61.
[27] 胡枫,刘猛,赵静,等.蛋白复合物超网络特性分析及应用[J].复杂系统与复杂性科学,2018,15(4):31-38.
Hu Feng, Liu Meng, Zhao Jing, et al. Analysis and application of the topological properties of protein complex hypernetworks[J].Complex Systems and Complexity Science,2018,15(4):31-38.
[28] 王雨,郭进利. 超网络视角下的科研合作网络节点重要性评估[J].图书馆杂志, 2018,37(10):91-102.
Wang Yu, Guo Jinli. The evaluation of node importance within the scientific collaboration network from hypernetwork perspective[J]. Library Journal, 2018, 37(10):91-102.
[29] 单而芳,蔡蕾,曾晗,等.超网络中心性度量的υ-Position值方法[J].运筹与管理,2020,29(5):135-142.
Shan Erfang, Cai Lei, Zeng Han, et al. The υ-position value measure on centrality of hypernetworks[J].Operations Research and Management Science, 2020, 29(5):135-142.
[30] 孙琳,郭进利.基于超网络视角对上海轨道交通网络的研究[J].物流科技,2015,38(4):15-19.
Sun Lin, Guo Jinli. Study of Shanghai rail transit network based on the hypernetwork[J]. Logistics Management, 2015, 38(4): 15-19.
[31] Nagurney A, Dong J. Supernetworks: decision-making for the information age[M]. Cheltenham: Edward Elgar Publishing, 2002.
[32] Berge C. Graphs and Hypergraphs [M]. New York: Elsevier,1973.
[33] Ruepp A, Waegele B, Lechneet M, et al. CORUM: the comprehensive resource of mammalian protein complexes-2009[J]. Nucleic Acids Research, 2009, 38: D497-D501.
[34] Hahn M W,Kern A D.Comparative genomics of centrality and essentiality in three eukaryotic protein-interaction networks[J]. Molecular Biology & Evolution, 2005(4): 803-806.
[35] Jeong H, Mason S P, Barabasi A L, et al. Lethality and centrality in protein networks[J]. Nature, 2001, 411(6833): 41-42.
[36] Kim P M , Korbel J O , Gerstein M B . Positive selection at the protein network periphery: evaluation in terms of structural constraints and cellular context[J]. Proceedings of the National Academy of Sciences of the United States of America, 2007, 104(51):20274-20279.
[37] Chen W H, Minguez P, Lerecher M J, et al. OGEE: an online gene essentially database[J]. Nucleic Acids Research, 2011, 40: 901-906.
