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Identifying influential spreaders in complex networks based on gravity formula

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  1. Malang, Kanokwan & Wang, Shuliang & Phaphuangwittayakul, Aniwat & Lv, Yuanyuan & Yuan, Hanning & Zhang, Xiuzhen, 2020. "Identifying influential nodes of global terrorism network: A comparison for skeleton network extraction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
  2. Li, Hanwen & Shang, Qiuyan & Deng, Yong, 2021. "A generalized gravity model for influential spreaders identification in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
  3. Xiaojian Ma & Yinghong Ma, 2019. "The Local Triangle Structure Centrality Method to Rank Nodes in Networks," Complexity, Hindawi, vol. 2019, pages 1-16, January.
  4. Li, Zhaohui & Li, Xinyu & Li, Mindi & Zhang, Kexin & Zhang, Xi & Zhou, Xiaoxia, 2024. "Evaluation of human epileptic brain networks by constructing simplicial complexes," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
  5. 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.
  6. Ai, Jun & He, Tao & Su, Zhan, 2023. "Identifying influential nodes in complex networks based on resource allocation similarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 627(C).
  7. Yin, Ran-Ran & Guo, Qiang & Yang, Jian-Nan & Liu, Jian-Guo, 2018. "Inter-layer similarity-based eigenvector centrality measures for temporal networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 165-173.
  8. 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.
  9. Yang, Ming-Yuan & Wang, Chengjin & Wu, Zhen-Guo & Wu, Xin & Zheng, Chengsi, 2023. "Influential risk spreaders and their contribution to the systemic risk in the cryptocurrency network," Finance Research Letters, Elsevier, vol. 57(C).
  10. Namtirtha, Amrita & Dutta, Animesh & Dutta, Biswanath, 2018. "Identifying influential spreaders in complex networks based on kshell hybrid method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 310-324.
  11. Liu, Ying & Tang, Ming & Zhou, Tao & Do, Younghae, 2016. "Identify influential spreaders in complex networks, the role of neighborhood," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 289-298.
  12. 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).
  13. Guo, Haoming & Wang, Shuangling & Yan, Xuefeng & Zhang, Kecheng, 2024. "Node importance evaluation method of complex network based on the fusion gravity model," Chaos, Solitons & Fractals, Elsevier, vol. 183(C).
  14. Chen Liu & Xue Yang & Yongqing Li & Langxuan Pan & Mingyang Yu, 2025. "A dynamic emergency decision-making method for urban natural disasters considering cascading effects," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(14), pages 16581-16627, August.
  15. Tao, Li & Kong, Shengzhou & He, Langzhou & Zhang, Fan & Li, Xianghua & Jia, Tao & Han, Zhen, 2022. "A sequential-path tree-based centrality for identifying influential spreaders in temporal networks," Chaos, Solitons & Fractals, Elsevier, vol. 165(P1).
  16. Pisit Jarumaneeroj & Amar Ramudhin & Jorge Barnett Lawton, 2023. "A connectivity-based approach to evaluating port importance in the global container shipping network," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(3), pages 602-622, September.
  17. 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.
  18. 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).
  19. Luo, Mengzhuo & Liu, Xinzhi & Zhong, Shouming & Cheng, Jun, 2018. "Synchronization of multi-stochastic-link complex networks via aperiodically intermittent control with two different switched periods," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 20-38.
  20. Wang, Ying & Zheng, Yunan & Shi, Xuelei & Liu, Yiguang, 2022. "An effective heuristic clustering algorithm for mining multiple critical nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
  21. Xinyu Huang & Dongming Chen & Dongqi Wang & Tao Ren, 2020. "MINE: Identifying Top- k Vital Nodes in Complex Networks via Maximum Influential Neighbors Expansion," Mathematics, MDPI, vol. 8(9), pages 1-25, August.
  22. 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.
  23. Yang, Xu-Hua & Xiong, Zhen & Ma, Fangnan & Chen, Xiaoze & Ruan, Zhongyuan & Jiang, Peng & Xu, Xinli, 2021. "Identifying influential spreaders in complex networks based on network embedding and node local centrality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
  24. Park, Ji Hwan & Chang, Woojin & Song, Jae Wook, 2020. "Link prediction in the Granger causality network of the global currency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
  25. 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).
  26. Wang, Junyi & Hou, Xiaoni & Li, Kezan & Ding, Yong, 2017. "A novel weight neighborhood centrality algorithm for identifying influential spreaders in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 475(C), pages 88-105.
  27. Rupkumar Mahapatra & Sovan Samanta & Madhumangal Pal & Tofigh Allahviranloo & Antonios Kalampakas, 2024. "A Study on Linguistic Z-Graph and Its Application in Social Networks," Mathematics, MDPI, vol. 12(18), pages 1-24, September.
  28. 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).
  29. Bi, Jialin & Jin, Ji & Qu, Cunquan & Zhan, Xiuxiu & Wang, Guanghui & Yan, Guiying, 2021. "Temporal gravity model for important node identification in temporal networks," Chaos, Solitons & Fractals, Elsevier, vol. 147(C).
  30. Zhu, Xiaoyu & Hao, Rongxia, 2024. "Identifying influential nodes in social networks via improved Laplacian centrality," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
  31. Qu, Hongbo & Song, Yu-Rong & Li, Ruqi & Li, Min, 2023. "GNR: A universal and efficient node ranking model for various tasks based on graph neural networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P2).
  32. Esfandiari, Shima & Fakhrahmad, Seyed Mostafa, 2025. "The collaborative role of K-Shell and PageRank for identifying influential nodes in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 658(C).
  33. Wang, Jing & Ma, Xiao-Jing & Xiang, Bing-Bing & Bao, Zhong-Kui & Zhang, Hai-Feng, 2022. "Maximizing influence in social networks by distinguishing the roles of seeds," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
  34. Wang, Min & Li, Wanchun & Guo, Yuning & Peng, Xiaoyan & Li, Yingxiang, 2020. "Identifying influential spreaders in complex networks based on improved k-shell method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
  35. Gao, Xin & Ye, Yunxia & Su, Wenxin & Chen, Linyan, 2023. "Assessing the comprehensive importance of power grid nodes based on DEA," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
  36. Ibnoulouafi, Ahmed & El Haziti, Mohamed, 2018. "Density centrality: identifying influential nodes based on area density formula," Chaos, Solitons & Fractals, Elsevier, vol. 114(C), pages 69-80.
  37. Wang, Juan & Li, Chao & Xia, Chengyi, 2018. "Improved centrality indicators to characterize the nodal spreading capability in complex networks," Applied Mathematics and Computation, Elsevier, vol. 334(C), pages 388-400.
  38. Maricela Fernanda Ormaza Morejón & Rolando Ismael Yépez Moreira, 2025. "SL-WLEN, a Novel Semi-Local Centrality Metric with Weighted Lexicographic Extended Neighborhood for Identifying Influential Nodes in Networks with Weighted Edges and Nodal Attributes," Mathematics, MDPI, vol. 13(16), pages 1-36, August.
  39. Guo, Haoming & Yan, Xuefeng, 2025. "Node influence evaluation method based on saturation propagation probability and multi-level propagation," Chaos, Solitons & Fractals, Elsevier, vol. 195(C).
  40. Chi, Kuo & Qu, Hui & Yin, Guisheng, 2022. "Link prediction for existing links in dynamic networks based on the attraction force," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
  41. Li, Chao & Wang, Li & Sun, Shiwen & Xia, Chengyi, 2018. "Identification of influential spreaders based on classified neighbors in real-world complex networks," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 512-523.
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