3.3k citations · 3.9k across the 9 of their papers we have counts for
9 papers
Exploring individual differences through network topology
Yuval Samoilov-Katz, Yoram Louzoun, Lev Muchnik +1
Social animals, including humans, have a broad range of personality traits, which can be used to predict individual behavioral responses and decisions. Current methods to quantify…
Stochastic Variations in Nanoscale HZO based Ferroelectric finFETs: A Synergistic Approach of READ Optimization and Hybrid Precision Mixed Signal WRITE Operation to Mitigate the Implications on DNN Applications
Sourav De, Md. Aftab Baig, Bo-Han Qiu +5
This paper reports a synergistic approach of READ and WRITE optimization by deploying a high-precision digital computation unit along with a low-precision ferroelectric finFET (Fe-…
Exploring the complex pattern of information spreading in online blog communities
Sen Pei, Lev Muchnik, Shaoting Tang +2
Information spreading in online social communities has attracted tremendous attention due to its utmost practical values in applications. Despite that several individual-level diff…
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…
Origins of power-law degree distribution in the heterogeneity of human activity in social networks
Lev Muchnik, Sen Pei, Lucas C. Parra +4
The probability distribution of number of ties of an individual in a social network follows a scale-free power-law. However, how this distribution arises has not been conclusively…
Line graphs as social networks
Malgorzata Krawczyk, Lev Muchnik, Anna Mańka-Krasoń +1
The line graphs are clustered and assortative. They share these topological features with some social networks. We argue that this similarity reveals the cliquey character of the s…