1 |
XU X, ZHU C, WANG Q Y, et al. Identifying vital nodes in complex networks by adjacency information entropy[J]. Scientific Reports, 2020, 10: No.2691. 10.1038/s41598-020-59616-w
|
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. 10.1360/972013-1280
|
|
REN X L, LYU L Y. Review of ranking nodes in complex networks[J]. Chinese Science Bulletin, 2014, 59(13):1175-1197. 10.1360/972013-1280
|
3 |
任卓明,刘建国,邵凤,等. 复杂网络中最小K-核节点的传播能力分析[J]. 物理学报, 2013, 62(10): No.108902. 10.7498/aps.62.108902
|
|
REN Z M, LIU J G, SHAO F, et al. Analysis of the spreading influence of the nodes with minimum K-shell value in complex networks[J]. Acta Physica Sinica. 2013, 62(10): No.108902. 10.7498/aps.62.108902
|
4 |
YANG X, XIAO F Y. An improved gravity model to identify influential nodes in complex networks based on k-shell method[J]. Knowledge-Based Systems, 2021, 227: No.107198. 10.1016/j.knosys.2021.107198
|
5 |
SHANG Q Y, DENG Y, CHEONG K H. Identifying influential nodes in complex networks: effective distance gravity model[J]. Information Sciences, 2021, 577:162-179. 10.1016/j.ins.2021.01.053
|
6 |
ULLAH A, WANG B, SHENG J F, et al. Identifying vital nodes from local and global perspectives in complex networks[J]. Expert Systems with Applications, 2021, 186: No.115778. 10.1016/j.eswa.2021.115778
|
7 |
郭庆来,辛蜀骏,王剑辉,等. 由乌克兰停电事件看信息能源系统综合安全评估[J]. 电力系统自动化, 2016, 40(5): 145-147. 10.7500/AEPS20160113101
|
|
GUO Q L, XIN S J, WANG J H, et al. Comprehensive security assessment for a cyber physical energy system: a lesson from Ukraine’s blackout[J]. Automation of Electric Power Systems, 2016, 40(5):145-147. 10.7500/AEPS20160113101
|
8 |
胡钢,徐翔,高浩,等. 基于邻接信息熵的网络节点重要性识别算法[J]. 系统工程理论与实践, 2020, 40(3): 714-725. 10.12011/1000-6788-2018-1805-12
|
|
HU G, XU X, GAO H, et al. Node importance recognition algorithm based on adjacency information entropy in networks[J]. Systems Engineering — Theory & Practice, 2020, 40(3):714-725. 10.12011/1000-6788-2018-1805-12
|
9 |
ALBERT R, JEONG W, BARABÁSI A L. Diameter of the world-wide web[J]. Nature, 1999, 401(6749): 130-131. 10.1038/43601
|
10 |
BRANDES U, BORGATTI S P, FREEMAN L C. Maintaining the duality of closeness and betweenness centrality[J]. Social Networks, 2016, 44:153-159. 10.1016/j.socnet.2015.08.003
|
11 |
FREEMAN L C. A set of measures of centrality based on betweenness[J]. Sociometry, 1977, 40(1): 35-41. 10.2307/3033543
|
12 |
NEWMAN M E J. Finding community structure in networks using the eigenvectors of matrices[J]. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics, 2006, 74(3): No.036104. 10.1103/physreve.74.036104
|
13 |
BERAHMAND K, BOUYER A, SAMADI N. A new local and multidimensional ranking measure to detect spreaders in social networks[J]. Computing, 2019, 101(11): 1711-1733. 10.1007/s00607-018-0684-8
|
14 |
BERAHMAND K, BOUYER A, SAMADI N. A new centrality measure based on the negative and positive effects of clustering coefficient for identifying influential spreaders in complex networks[J]. Chaos, Solitons and Fractals, 2018, 110: 41-54. 10.1016/j.chaos.2018.03.014
|
15 |
马润年,王班,王刚,等. 基于互信息的通信网络节点重要性度量方法[J]. 电子学报, 2017, 45(3): 747-752. 10.3969/j.issn.0372-2112.2017.03.035
|
|
MA R N, WANG B, WANG G, et al. Evaluation method for node importance in communication network based on mutual information[J]. Acta Electronica Sinica, 2017, 45(3):747-752. 10.3969/j.issn.0372-2112.2017.03.035
|
16 |
FEI L G, DENG Y. A new method to identify influential nodes based on relative entropy[J]. Chaos, Solitons and Fractals, 2017, 104:257-267. 10.1016/j.chaos.2017.08.010
|
17 |
ZHANG Q, LI M Z, DU Y X, et al. Local structure entropy of complex networks[EB/OL]. (2014-12-12) [2022-02-11]..
|
18 |
吕非非,徐雅斌,李卓,等. 面向微博影响力的社交网络特征分析[J]. 计算机应用, 2013, 33(12):3359-3362, 3418. 10.3724/sp.j.1087.2013.03359
|
|
LYU F F, XU Y B, LI Z, et al. Analysis of characteristics of social networks in terms of microblog impact[J]. Journal of Computer Applications, 2013, 33(12): 3359-3362, 3418. 10.3724/sp.j.1087.2013.03359
|
19 |
GIRVAN M, NEWMAN M E J. Community structure in social and biological networks[J]. Proceedings of the National Academy of Sciences of the United States of America, 2002, 99(12): 7821-7826. 10.1073/pnas.122653799
|
20 |
LUSSEAU D, SCHNEIDER K, BOISSEAU O J, et al. The bottlenose dolphin community of Doubtful Sound features a large proportion of long-lasting associations[J]. Behavioral Ecology and Sociobiology, 2003, 54(4):396-405. 10.1007/s00265-003-0651-y
|
21 |
GUIMERÀ R, DANON L, DÍAZ-GUILERA A, et al. Self-similar community structure in a network of human interactions[J]. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics, 2003, 68(6): No.065103. 10.1103/physreve.68.065103
|
22 |
WATTS D J, STROGATZ S H. Collective dynamics of ‘small-world’ networks[J]. Nature, 1998, 393(6684): 440-442. 10.1038/30918
|
23 |
NEMESURE M D, SCHWEDHELM T M, SACERDOTE S, et al. A measure of local unique-ness to identify linchpins in a social network with node attributes[J]. Applied Network Science, 2021, 6: No.56. 10.1007/s41109-021-00400-8
|
24 |
VRAGOVIĆ I, LOUIS E, DÍAZ-GUILERA A. Efficiency of informational transfer in regular and complex networks[J]. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics, 2005, 71(3): No.036122. 10.1103/physreve.71.036122
|
25 |
任卓明,邵凤,刘建国,等. 基于度与集聚系数的网络节点重要性度量方法研究[J]. 物理学报, 2013, 62(12): No.128901. 10.7498/aps.62.128901
|
|
REN Z M, SHAO F, LIU J G, et al. Node importance measurement based on the degree and clustering coefficient information[J]. Acta Physica Sinica, 2013, 62(12):No.128901. 10.7498/aps.62.128901
|