23 citations · 25 across the 11 of their papers we have counts for
5 papers · 1 filter
Universal Network Generation Model via Exponential Probabilistic Growth and Vari-linear Preferential Attachment
Jinhu Ren, Linyuan Lü
Generated networks are widely used in network-based research as a convenient simulation environment. Generating universal networks that more accurately reflect real-world patterns…
Uncovering key predictors of high-growth firms via explainable machine learning
Yiwei Huang, Shuqi Xu, Linyuan Lü +2
Predicting high-growth firms has attracted increasing interest from the technological forecasting and machine learning communities. Most existing studies primarily utilize financia…
Network higher-order structure dismantling
Peng Peng, Tianlong Fan, Linyuan Lü
Diverse higher-order structures, foundational for supporting a network's "meta-functions", play a vital role in structure, functionality, and the emergence of complex dynamics. Nev…
Stock network inference: A framework for market analysis from topology perspective
Yijie Teng, Rongmei Yang, Shuqi Xu +1
From a complex network perspective, investigating the stock market holds paramount significance as it enables the systematic revelation of topological features inherent in the mark…
A generalized simplicial model and its application
Rongmei Yang, Fang Zhou, Bo Liu +1
Higher-order structures, consisting of more than two individuals, provide a new perspective to reveal the missed non-trivial characteristics under pairwise networks. Prior works ha…