Local structure can identify and quantify influential global spreaders in large scale social networks
DOI10.1073/pnas.1710547115zbMath1416.94083arXiv1509.03484OpenAlexW2804502241WikidataQ64123931 ScholiaQ64123931MaRDI QIDQ4967448
Yanqing Hu, Ling Feng, Shenggong Ji, Yuliang Jin, Shlomo Havlin, H. Eugene Stanley
Publication date: 3 July 2019
Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1509.03484
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Applications of design theory to circuits and networks (94C30)
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