Publications (35)
Theories for influencer identification in complex networks
Sen Pei, Flaviano Morone, Hernán A. Makse
In social and biological systems, the structural heterogeneity of interaction networks gives rise to the emergence of a small set of influential nodes, or influencers, in a series…
Detecting the Influence of Spreading in Social Networks with Excitable Sensor Networks
Sen Pei, Shaoting Tang, Zhiming Zheng
Detecting spreading outbreaks in social networks with sensors is of great significance in applications. Inspired by the formation mechanism of human's physical sensations to extern…
Domain Decorrelation with Potential Energy Ranking
Sen Pei, Jiaxi Sun, Richard Yi Da Xu +2
Machine learning systems, especially the methods based on deep learning, enjoy great success in modern computer vision tasks under experimental settings. Generally, these classic d…
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…
Evaluating the impact of quarantine measures on COVID-19 spread
Renquan Zhang, Yu Wang, Zheng Lv +1
During the early stage of the COVID-19 pandemic, many countries implemented non-pharmaceutical interventions (NPIs) to control the transmission of SARS-CoV-2, the causative pathoge…
Dynamic range maximization in excitable networks
Renquan Zhang, Sen Pei
We study the strategy to optimally maximize the dynamic range of excitable networks by removing the minimal number of links. A network of excitable elements can distinguish a broad…