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The H-index of a network node and its relation to degree and coreness

Citations

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Cited by:

  1. Xiao Fan Liu & Yu-Liang Liu & Xin-Hang Lu & Qi-Xuan Wang & Tong-Xing Wang, 2016. "The Anatomy of the Global Football Player Transfer Network: Club Functionalities versus Network Properties," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-14, June.
  2. Zheng, Wenxin & Shi, Wenfeng & Fan, Tianlong & Lü, Linyuan, 2025. "Weighted cycle-based identification of influential node groups in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 677(C).
  3. Xiaoyu Chen & Yang Liu & Zhenxin Cao & Xiaopeng Li & Jinde Cao, 2024. "H-core decomposition for directed networks and its application," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 6571-6596, November.
  4. Sheikhahmadi, Amir & Nematbakhsh, Mohammad Ali & Zareie, Ahmad, 2017. "Identification of influential users by neighbors in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 517-534.
  5. Zhu, Weihua & Liu, Kai & Wang, Ming & Yan, Xiaoyong, 2018. "Enhancing robustness of metro networks using strategic defense," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1081-1091.
  6. Huang, Kangzheng & Xie, Yun & Peng, Huihao & Li, Weibo, 2024. "Study on dynamic evolution characteristics of Wuhan metro network based on complex network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 648(C).
  7. Lu, Kai-Fa & Liu, Yanghe & Peng, Zhong-Ren, 2025. "Assessing the impacts of transit systems and urban street features on bike-sharing ridership: A graph-based spatiotemporal analysis and prediction model," Journal of Transport Geography, Elsevier, vol. 128(C).
  8. Linda Ponta & Francesco Delfino & Gian Carlo Cainarca, 2020. "The Role of Monetary Incentives: Bonus and/or Stimulus," Administrative Sciences, MDPI, vol. 10(1), pages 1-18, February.
  9. Ma, Jinlong & Hu, Jiahao, 2025. "A novel algorithm for identifying key propagation nodes in complex networks based on Neighborhood Gravitational Structural Centrality," Chaos, Solitons & Fractals, Elsevier, vol. 200(P3).
  10. Wang, Shuliang & Chen, Chen & Zhang, Jianhua & Gu, Xifeng & Huang, Xiaodi, 2022. "Vulnerability assessment of urban road traffic systems based on traffic flow," International Journal of Critical Infrastructure Protection, Elsevier, vol. 38(C).
  11. Zhong, Lin-Feng & Shang, Ming-Sheng & Chen, Xiao-Long & Cai, Shi-Ming, 2018. "Identifying the influential nodes via eigen-centrality from the differences and similarities of structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 77-82.
  12. Sun, Hong-liang & Chen, Duan-bing & He, Jia-lin & Ch’ng, Eugene, 2019. "A voting approach to uncover multiple influential spreaders on weighted networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 303-312.
  13. Rossi, Luciano & Freire, Igor L. & Mena-Chalco, Jesús P., 2017. "Genealogical index: A metric to analyze advisor–advisee relationships," Journal of Informetrics, Elsevier, vol. 11(2), pages 564-582.
  14. Zheng, Yi & Wu, Xiaoqun & Fan, Ziye & Wang, Wei, 2022. "Identifying topology and system parameters of fractional-order complex dynamical networks," Applied Mathematics and Computation, Elsevier, vol. 414(C).
  15. Huang, Linya & Han, Wenchen, 2025. "Impact of heterogeneous network structures on the evolution of group behavior," Chaos, Solitons & Fractals, Elsevier, vol. 200(P2).
  16. Xiao, Yunpeng & Wang, Zheng & Li, Qian & Li, Tun, 2019. "Dynamic model of information diffusion based on multidimensional complex network space and social game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 578-590.
  17. Yanjie Xu & Tao Ren & Shixiang Sun, 2021. "Identifying Influential Edges by Node Influence Distribution and Dissimilarity Strategy," Mathematics, MDPI, vol. 9(20), pages 1-13, October.
  18. Wang, Ze & Gao, Xiangyun & Tang, Renwu & Liu, Xueyong & Sun, Qingru & Chen, Zhihua, 2019. "Identifying influential nodes based on fluctuation conduction network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 355-369.
  19. Gong, Yudong & Liu, Sanyang & Bai, Yiguang, 2021. "A probability-driven structure-aware algorithm for influence maximization under independent cascade model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
  20. Bao, Zhong-Kui & Ma, Chuang & Xiang, Bing-Bing & Zhang, Hai-Feng, 2017. "Identification of influential nodes in complex networks: Method from spreading probability viewpoint," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 391-397.
  21. Ahmad, Amreen & Ahmad, Tanvir & Bhatt, Abhishek, 2020. "HWSMCB: A community-based hybrid approach for identifying influential nodes in the social network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
  22. Chen, Meiqian & Guo, Zhaoxia & Dong, Yucheng & Chiclana, Francisco & Herrera-Viedma, Enrique, 2021. "Citations optimal growth path: A tool to analyze sensitivity to citations of h-like indexes," Journal of Informetrics, Elsevier, vol. 15(4).
  23. Meng, Lei & Xu, Guiqiong & Dong, Chen, 2025. "An improved gravity model for identifying influential nodes in complex networks considering asymmetric attraction effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 657(C).
  24. Ni, Chengzhang & Yang, Jun & Kong, Demei, 2020. "Sequential seeding strategy for social influence diffusion with improved entropy-based centrality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
  25. Wen Zhou & Jiayi Gu & Yifan Jia, 2018. "h-Index-based link prediction methods in citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 381-390, October.
  26. Wang, Dong & Small, Michael & Zhao, Yi, 2021. "Exploring the optimal network topology for spreading dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
  27. Liu, Yan & Wang, Bin & Zhang, Simeng & Tian, Pengxu & Zhang, Hexin & Liu, Chenlu & Jiang, Xinyan, 2025. "Influential nodes identification based on Quasi-Laplacian Gravity Model," Chaos, Solitons & Fractals, Elsevier, vol. 200(P3).
  28. Yu, Hui & Cao, Xi & Liu, Zun & Li, Yongjun, 2017. "Identifying key nodes based on improved structural holes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 318-327.
  29. Wu, Rui-Jie & Kong, Yi-Xiu & Di, Zengru & Zhang, Yi-Cheng & Shi, Gui-Yuan, 2022. "Analytical solution to the k-core pruning process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
  30. Wen, Tao & Jiang, Wen, 2019. "Identifying influential nodes based on fuzzy local dimension in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 332-342.
  31. Wang, Xiaojie & Zhang, Xue & Zhao, Chengli & Yi, Dongyun, 2018. "Effectively identifying multiple influential spreaders in term of the backward–forward propagation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 404-413.
  32. Zheng, Ru & Guo, Yaoqi & Moreno, Yamir, 2026. "A new algorithm for identifying influential nodes in multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 202(P2).
  33. Xu, Guiqiong & Meng, Lei, 2023. "A novel algorithm for identifying influential nodes in complex networks based on local propagation probability model," Chaos, Solitons & Fractals, Elsevier, vol. 168(C).
  34. Yu, Senbin & Gao, Liang & Xu, Lida & Gao, Zi-You, 2019. "Identifying influential spreaders based on indirect spreading in neighborhood," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 418-425.
  35. Zhu, Xiaoyu & Hao, Rongxia, 2025. "Finding influential nodes in complex networks by integrating nodal intrinsic and extrinsic centrality," Chaos, Solitons & Fractals, Elsevier, vol. 194(C).
  36. Dongling Yu & Zuguo Yu, 2022. "HWVoteRank: A Network-Based Voting Approach for Identifying Coding and Non-Coding Cancer Drivers," Mathematics, MDPI, vol. 10(5), pages 1-13, March.
  37. Liu, Qiang & Zhu, Yu-Xiao & Jia, Yan & Deng, Lu & Zhou, Bin & Zhu, Jun-Xing & Zou, Peng, 2018. "Leveraging local h-index to identify and rank influential spreaders in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 379-391.
  38. Fei, Liguo & Zhang, Qi & Deng, Yong, 2018. "Identifying influential nodes in complex networks based on the inverse-square law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1044-1059.
  39. Lee, Yan-Li & Zhou, Tao, 2017. "Fast asynchronous updating algorithms for k-shell indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 524-531.
  40. Wang, Ruby W. & Wei, Shelia X. & Ye, Fred Y., 2021. "Extracting a core structure from heterogeneous information network using h-subnet and meta-path strength," Journal of Informetrics, Elsevier, vol. 15(3).
  41. Dong, Chen & Xu, Guiqiong & Meng, Lei & Yang, Pingle, 2022. "CPR-TOPSIS: A novel algorithm for finding influential nodes in complex networks based on communication probability and relative entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
  42. Wu, Hongqian & Deng, Hongzhong & Li, Jichao & Wang, Yangjun & Yang, Kewei, 2024. "Hunting for influential nodes based on radiation theory in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
  43. Zhao, Zhi-Dan & Chen, Jiahao & Lu, Yichuan & Zhao, Na & Jiang, Dazhi & Wang, Bing-Hong, 2021. "Dynamic patterns of open review process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 582(C).
  44. Alessandra Rigo & Elena Andriollo & Elena Pisani, 2022. "Intermediary Organizations in Nature Conservation Initiatives: The Case of the EU-Funded LIFE Programme," Sustainability, MDPI, vol. 14(13), pages 1-28, June.
  45. Xu, Shuang & Wang, Pei & Zhang, Chunxia, 2019. "Identification of influential spreaders in bipartite networks:A singular value decomposition approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 297-306.
  46. Kumar, Sanjay & Panda, B.S., 2020. "Identifying influential nodes in Social Networks: Neighborhood Coreness based voting approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
  47. Liu, Qipeng & Hong, Tao, 2018. "Sequential seeding for spreading in complex networks: Influence of the network topology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 10-17.
  48. Anwesha Sengupta & Shashankaditya Upadhyay & Indranil Mukherjee & Prasanta K. Panigrahi, 2024. "A study of the effect of influential spreaders on the different sectors of Indian market and a few foreign markets: a complex networks perspective," Journal of Computational Social Science, Springer, vol. 7(1), pages 45-85, April.
  49. Dong, Lijun & Wang, Yi & Liu, Ran & Pi, Benjie & Wu, Liuyi, 2016. "Toward edge minability for role mining in bipartite networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 274-286.
  50. Liu, Min & Ma, Yue & Cao, Zhulou & Qi, Xingqin, 2018. "ECP-Rank: A novel vital node identifying mechanism combining PageRank with link prediction index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1183-1191.
  51. Zhong, Lin-Feng & Liu, Quan-Hui & Wang, Wei & Cai, Shi-Min, 2018. "Comprehensive influence of local and global characteristics on identifying the influential nodes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 78-84.
  52. Wang, Yan & Li, Haozhan & Zhang, Ling & Zhao, Linlin & Li, Wanlan, 2022. "Identifying influential nodes in social networks: Centripetal centrality and seed exclusion approach," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
  53. Zareie, Ahmad & Sheikhahmadi, Amir, 2019. "EHC: Extended H-index Centrality measure for identification of users’ spreading influence in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 141-155.
  54. Yang, Pingle & Meng, Fanyuan & Zhao, Laijun & Zhou, Lixin, 2023. "AOGC: An improved gravity centrality based on an adaptive truncation radius and omni-channel paths for identifying key nodes in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
  55. Zhu, Xiaoyu & Hao, Rongxia, 2024. "Identifying influential nodes in social networks via improved Laplacian centrality," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
  56. Han, Jihui & Zhang, Ge & Dong, Gaogao & Zhao, Longfeng & Shi, Yuefeng & Zou, Yijiang, 2024. "Exact analysis of generalized degree-based percolation without memory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 642(C).
  57. Qing Yao & Shaodong Ma & Jing Liang & Kim Christensen & Wanru Jing & Ruiqi Li, 2022. "Effects of syndication network on specialisation and performance of venture capital firms," Papers 2211.00873, arXiv.org.
  58. Xu, Shuqi & Mariani, Manuel Sebastian & Lü, Linyuan & Medo, Matúš, 2020. "Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data," Journal of Informetrics, Elsevier, vol. 14(1).
  59. Eric Vansteenberghe, 2026. "Quantitative Methods in Finance," Papers 2601.12896, arXiv.org, revised Mar 2026.
  60. Wang, Jingjing & Xu, Shuqi & Mariani, Manuel S. & Lü, Linyuan, 2021. "The local structure of citation networks uncovers expert-selected milestone papers," Journal of Informetrics, Elsevier, vol. 15(4).
  61. Ye, Yucheng & Xu, Shuqi & Mariani, Manuel Sebastian & Lü, Linyuan, 2022. "Forecasting countries' gross domestic product from patent data," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).
  62. Zhong, Xingju & Liu, Renjing, 2024. "Identifying critical nodes in interdependent networks by GA-XGBoost," Reliability Engineering and System Safety, Elsevier, vol. 251(C).
  63. Yu, Yong & Jing, Ming & Zhao, Na & Zhou, Tao, 2025. "Lowest degree decomposition of complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
  64. Zareie, Ahmad & Sheikhahmadi, Amir & Fatemi, Adel, 2017. "Influential nodes ranking in complex networks: An entropy-based approach," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 485-494.
  65. Liu, Panfeng & Li, Longjie & Fang, Shiyu & Yao, Yukai, 2021. "Identifying influential nodes in social networks: A voting approach," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
  66. Mahyar, Hamidreza & Hasheminezhad, Rouzbeh & Ghalebi K., Elahe & Nazemian, Ali & Grosu, Radu & Movaghar, Ali & Rabiee, Hamid R., 2018. "Compressive sensing of high betweenness centrality nodes in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 166-184.
  67. Zhai, Li & Yan, Xiangbin & Zhang, Guojing, 2018. "Bi-directional h-index: A new measure of node centrality in weighted and directed networks," Journal of Informetrics, Elsevier, vol. 12(1), pages 299-314.
  68. Xu, Shuang & Wang, Pei, 2017. "Identifying important nodes by adaptive LeaderRank," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 654-664.
  69. Yang, Alex Jie & Wu, Linwei & Zhang, Qi & Wang, Hao & Deng, Sanhong, 2023. "The k-step h-index in citation networks at the paper, author, and institution levels," Journal of Informetrics, Elsevier, vol. 17(4).
  70. Yao, Yabing & Zhang, Ruisheng & Yang, Fan & Tang, Jianxin & Yuan, Yongna & Hu, Rongjing, 2018. "Link prediction in complex networks based on the interactions among paths," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 52-67.
  71. Huang, Yihao & Peng, Weijun & Zheng, Muhua & Zhao, Ming & Zhao, Manrui & Zhang, Yicheng, 2025. "Finding important nodes via improved cycle ratio method," Chaos, Solitons & Fractals, Elsevier, vol. 190(C).
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