Local structure can identify and quantify influential global spreaders in large scale social networks
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- 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.
- 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.
- Xue Guo & Hu Zhang & Tianhai Tian, 2019. "Multi-Likelihood Methods for Developing Stock Relationship Networks Using Financial Big Data," Papers 1906.08088, arXiv.org.
- Sun, Peng Gang & Che, Wanping & Quan, Yining & Wang, Shuzhen & Miao, Qiguang, 2022. "Random networks are heterogeneous exhibiting a multi-scaling law," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
- Liu, Xiang-Chun & Zhu, Xu-Zhen & Tian, Hui & Zhang, Zeng-Ping & Wang, Wei, 2019. "Identifying localized influential spreaders of information spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 92-97.
- Sun, Jiachen & Feng, Ling & Du, Mingwei & Ma, Xiao & Fan, Zhengping & Gloor, Peter & Hu, Yanqing, 2021. "Ultra-efficient information detection on large-scale online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
- Qu, Junyi & Tang, Ming & Liu, Ying & Guan, Shuguang, 2020. "Identifying influential spreaders in reversible process," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
- Fanhui Meng & Haoming Sun & Jiarong Xie & Chengjun Wang & Jiajing Wu & Yanqing Hu, 2021. "Preference for Number of Friends in Online Social Networks," Future Internet, MDPI, vol. 13(9), pages 1-13, September.
- 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.
- de Abreu, Carolina & Gonçalves, Sebastián & da Cunha, Bruno Requião, 2021. "Empirical determination of the optimal attack for fragmentation of modular networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
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Keywords
social media; complex network; percolation; influence; viral marketing;All these keywords.
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