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19942025
most citedIdentification of influential spreaders in complex networks

3.3k citations · 17.6k across the 141 of their papers we have counts for

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Showing 2014 · physics.soc-phShow all

5 papers · 2 filters

physics.soc-ph2014★ 104 cited

How does public opinion become extreme?

Marlon Ramos, Jia Shao, Saulo D. S. Reis +4

We investigate the emergence of extreme opinion trends in society by employing statistical physics modeling and analysis on polls that inquire about a wide range of issues such as…

physics.soc-ph2014★ 292 cited

Avoiding catastrophic failure in correlated networks of networks

Saulo D. S. Reis, Yanqing Hu, Andrés Babino +4

Networks in nature do not act in isolation but instead exchange information, and depend on each other to function properly. An incipient theory of Networks of Networks have shown t…

physics.soc-ph2014★ 5 cited

Conditions for viral influence spreading through multiplex correlated social networks

Yanqing Hu, Shlomo Havlin, Hernán A. Makse

A fundamental problem in network science is to predict how certain individuals are able to initiate new networks to spring up "new ideas". Frequently, these changes in trends are t…

physics.soc-ph2014★ 358 cited

Searching for superspreaders of information in real-world social media

Sen Pei, Lev Muchnik, Jose S. Andrade +2

A number of predictors have been suggested to detect the most influential spreaders of information in online social media across various domains such as Twitter or Facebook. In par…

physics.soc-ph2014★ 174 cited

Large cities are less green

E. A. Oliveira, J. S. Andrade, H. A. Makse

We study how urban quality evolves as a result of carbon dioxide emissions as urban agglomerations grow. We employ a bottom-up approach combining two unprecedented microscopic data…