Ontology highlight
ABSTRACT:
SUBMITTER: Hu Y
PROVIDER: S-EPMC6055149 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature
Hu Yanqing Y Ji Shenggong S Jin Yuliang Y Feng Ling L Stanley H Eugene HE Havlin Shlomo S
Proceedings of the National Academy of Sciences of the United States of America 20180703 29
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 influence of nodes inevitably requires the knowledge of the entire network. Using percolation theory, we show that the spreading process displays a nucleation behavior: Once a piece of information spre ...[more]