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Local structure can identify and quantify influential global spreaders in large scale social networks
Measuring and optimizing the influence of nodes in big-data online social networks are important for many practical applications, such as the viral marketing and the adoption of new products. As the viral spreading on a social network is a global process, it is commonly believed that measuring the i...
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| Yayımlandı: | Proc Natl Acad Sci U S A |
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| Asıl Yazarlar: | , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
National Academy of Sciences
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6055149/ https://ncbi.nlm.nih.gov/pubmed/29970418 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1710547115 |
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