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Identification of influential spreaders based on classified neighbors in real-world complex networks

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Cited by:

  1. Cheng, Yingying & Huo, Liang'an & Zhao, Laijun, 2022. "Stability analysis and optimal control of rumor spreading model under media coverage considering time delay and pulse vaccination," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
  2. Deng, Zheng-Hong & Huang, Yi-Jie & Gu, Zhi-Yang & Liu, Dan & Gao, Li, 2018. "Multi-games on interdependent networks and the evolution of cooperation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 83-90.
  3. Chen, Qiao & Chen, Tong & Yang, Ran, 2019. "Using rewards reasonably: The effects of stratified-rewards in public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 120(C), pages 67-74.
  4. Bodaghi, Amirhosein & Goliaei, Sama & Salehi, Mostafa, 2019. "The number of followings as an influential factor in rumor spreading," Applied Mathematics and Computation, Elsevier, vol. 357(C), pages 167-184.
  5. Mustafa Alassad & Muhammad Nihal Hussain & Nitin Agarwal, 2022. "Comprehensive decomposition optimization method for locating key sets of commenters spreading conspiracy theory in complex social networks," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 367-394, March.
  6. Giacopelli, G. & Migliore, M. & Tegolo, D., 2020. "Graph-theoretical derivation of brain structural connectivity," Applied Mathematics and Computation, Elsevier, vol. 377(C).
  7. Huang, Xu-Dong & Zhang, Xian-Jie & Zhang, Hai-Feng, 2025. "A contrastive learning framework of graph reconstruction and hypergraph learning for key node identification," Chaos, Solitons & Fractals, Elsevier, vol. 197(C).
  8. Keng, Ying Ying & Kwa, Kiam Heong & Ratnavelu, Kurunathan, 2021. "Centrality analysis in a drug network and its application to drug repositioning," Applied Mathematics and Computation, Elsevier, vol. 395(C).
  9. 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.
  10. Li, Cong & Zhang, Shumin & Li, Xiang, 2019. "Can multiple social ties help improve human location prediction?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1276-1288.
  11. Li, Jie & Wang, Juan & Sun, Shiwen & Xia, Chengyi, 2018. "Cascading crashes induced by the individual heterogeneity in complex networks," Applied Mathematics and Computation, Elsevier, vol. 323(C), pages 182-192.
  12. 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.
  13. Zhu, Xiaoyu & Hao, Rongxia, 2024. "Identifying influential nodes in social networks via improved Laplacian centrality," Chaos, Solitons & Fractals, Elsevier, vol. 189(P1).
  14. Cáceres, José & Garijo, Delia & González, Antonio & Márquez, Alberto & Puertas, María Luz & Ribeiro, Paula, 2018. "Shortcut sets for the locus of plane Euclidean networks," Applied Mathematics and Computation, Elsevier, vol. 334(C), pages 192-205.
  15. Agryzkov, Taras & Tortosa, Leandro & Vicent, Jose F., 2018. "An algorithm to compute data diversity index in spatial networks," Applied Mathematics and Computation, Elsevier, vol. 337(C), pages 63-75.
  16. Heike I. Brugger & Adam Douglas Henry, 2019. "Equity of Incentives: Agent-Based Explorations of How Social Networks Influence the Efficacy of Programs to Promote Solar Adoption," Complexity, Hindawi, vol. 2019, pages 1-15, February.
  17. Ngoc-Kim-Khanh Nguyen & Quang Nguyen & Hai-Ha Pham & Thi-Trang Le & Tuan-Minh Nguyen & Davide Cassi & Francesco Scotognella & Roberto Alfieri & Michele Bellingeri, 2022. "Predicting the Robustness of Large Real‐World Social Networks Using a Machine Learning Model," Complexity, John Wiley & Sons, vol. 2022(1).
  18. Deng, Zheng-Hong & Wang, Zi-Ren & Wang, Huan-Bo & Xu, Lin, 2021. "The evolution of cooperation in multi-games with popularity-driven fitness calculation," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
  19. Zhu, Linhe & Liu, Mengxue & Li, Yimin, 2019. "The dynamics analysis of a rumor propagation model in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 118-137.
  20. Li, Zhibin & Jia, Danyang & Guo, Hao & Geng, Yini & Shen, Chen & Wang, Zhen & Li, Xuelong, 2019. "The effect of multigame on cooperation in spatial network," Applied Mathematics and Computation, Elsevier, vol. 351(C), pages 162-167.
  21. Wu, Yu’e & Zhang, Zhipeng & Wang, Xinyu & Chang, Shuhua, 2019. "Impact of probabilistic incentives on the evolution of cooperation in complex topologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 307-314.
  22. Wang, Shuangyan & Cheng, Wuyi, 2019. "Novel method for spreading information with fewer resources in scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 15-29.
  23. Interian, Ruben & Ribeiro, Celso C., 2018. "An empirical investigation of network polarization," Applied Mathematics and Computation, Elsevier, vol. 339(C), pages 651-662.
  24. Yu, Shuzhen & Yu, Zhiyong & Jiang, Haijun, 2024. "A rumor propagation model in multilingual environment with time and state dependent impulsive control," Chaos, Solitons & Fractals, Elsevier, vol. 182(C).
  25. Yang, Ran & Chen, Tong & Chen, Qiao, 2018. "The impact of lotteries on cooperation in the public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 925-934.
  26. 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).
  27. Jisha Mariyam John & Michele Bellingeri & Divya Sindhu Lekha & Davide Cassi & Roberto Alfieri, 2023. "Effect of Weight Thresholding on the Robustness of Real-World Complex Networks to Central Node Attacks," Mathematics, MDPI, vol. 11(16), pages 1-12, August.
  28. Zhang, Gui-Qing & Baró, Jordi & Cheng, Fang-Yin & Huang, He & Wang, Lin, 2019. "Avalanche dynamics of a generalized earthquake model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1463-1471.
  29. Lan, Yongxin & Li, Tao & Wang, Hua & Xia, Chengyi, 2019. "A note on extremal trees with degree conditions," Applied Mathematics and Computation, Elsevier, vol. 341(C), pages 70-79.
  30. Ahmed, Wajid Shakeel & Sheikh, Jibran & Ur-Rehman, Kashif & Shafi, khuram & Shad, Shafqat Ali & Butt, Faisal Shafique, 2020. "New continuum of stochastic static forecasting model for mutual funds at investment policy level," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
  31. Jiang, Lincheng & Zhao, Xiang & Ge, Bin & Xiao, Weidong & Ruan, Yirun, 2019. "An efficient algorithm for mining a set of influential spreaders in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 58-65.
  32. Agryzkov, Taras & Tortosa, Leandro & Vicent, Jose F., 2019. "A variant of the current flow betweenness centrality and its application in urban networks," Applied Mathematics and Computation, Elsevier, vol. 347(C), pages 600-615.
  33. 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).
  34. Liu, Wanping & Wu, Xiao & Yang, Wu & Zhu, Xiaofei & Zhong, Shouming, 2019. "Modeling cyber rumor spreading over mobile social networks: A compartment approach," Applied Mathematics and Computation, Elsevier, vol. 343(C), pages 214-229.
  35. 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.
  36. da Cunha, Éverton Fernandes & da Fontoura Costa, Luciano, 2022. "On hypercomplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 591(C).
  37. Hu, Hongping & Wang, Haiyan & Bai, Yanping & Liu, Maoxing, 2019. "Determination of endometrial carcinoma with gene expression based on optimized Elman neural network," Applied Mathematics and Computation, Elsevier, vol. 341(C), pages 204-214.
  38. Zhang, Shuhua & Zhang, Zhipeng & Wu, Yu’e & Yan, Ming & Li, Yu, 2019. "Strategy preference promotes cooperation in spatial evolutionary games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 181-188.
  39. Wang, Zhishuang & Guo, Quantong & Sun, Shiwen & Xia, Chengyi, 2019. "The impact of awareness diffusion on SIR-like epidemics in multiplex networks," Applied Mathematics and Computation, Elsevier, vol. 349(C), pages 134-147.
  40. Wang, Weiping & Guo, Junjiang & Wang, Zhen & Wang, Hao & Cheng, Jun & Wang, Chunyang & Yuan, Manman & Kurths, Jürgen & Luo, Xiong & Gao, Yang, 2021. "Abnormal flow detection in industrial control network based on deep reinforcement learning," Applied Mathematics and Computation, Elsevier, vol. 409(C).
  41. Yang Zhang, 2021. "Analysis and Recognition Method of Internet Image Public Opinion Based on Partial Differential Equation," Advances in Mathematical Physics, John Wiley & Sons, vol. 2021(1).
  42. Kabir, K.M. Ariful & Kuga, Kazuki & Tanimoto, Jun, 2019. "Effect of information spreading to suppress the disease contagion on the epidemic vaccination game," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 180-187.
  43. Xu, Paiheng & Zhang, Rong & Deng, Yong, 2018. "A novel visibility graph transformation of time series into weighted networks," Chaos, Solitons & Fractals, Elsevier, vol. 117(C), pages 201-208.
  44. Chen, Wei & Hou, Xiaoli & Jiang, Manrui & Jiang, Cheng, 2022. "Identifying systemically important financial institutions in complex network: A case study of Chinese stock market," Emerging Markets Review, Elsevier, vol. 50(C).
  45. Pan, Yuxuan & Zhu, Linhe, 2024. "Parameter identification method of information propagation models based on different network structures," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
  46. Chen, Yi & Ding, Shuai & Zheng, Handong & Zhang, Youtao & Yang, Shanlin, 2018. "Exploring diffusion strategies for mHealth promotion using evolutionary game model," Applied Mathematics and Computation, Elsevier, vol. 336(C), pages 148-161.
  47. Li, Huichun & Zhang, Xue & Zhao, Chengli, 2021. "Explaining social events through community evolution on temporal networks," Applied Mathematics and Computation, Elsevier, vol. 404(C).
  48. Yao, Hongxing & Memon, Bilal Ahmed, 2019. "Network topology of FTSE 100 Index companies: From the perspective of Brexit," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1248-1262.
  49. Curado, Manuel & Tortosa, Leandro & Vicent, Jose F., 2021. "Identifying mobility patterns by means of centrality algorithms in multiplex networks," Applied Mathematics and Computation, Elsevier, vol. 406(C).
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