6 citations · 12 across the 10 of their papers we have counts for
10 papers
The mechanistic origin of branching-driven nucleation in abrupt phase transitions
Leyang Xue, Shengling Gao, Bnaya Gross +5
Phase transitions are the macroscopic manifestation of microscopic processes that drive a system towards a new state. The detailed evolution of these processes, particularly in abr…
Iterative structural coarse-graining for contagion dynamics in complex networks
Leyang Xue, Zengru Di, An Zeng
Contagion dynamics in complex networks drive critical phenomena such as epidemic spread and information diffusion,but their analysis remains computationally prohibitive in large-sc…
Social contagion with emotional group interactions
YuQianqian Ma, Peng Zhang, Leyang Xue
Individual decisions and behaviors are shaped not only by direct interactions with others but also by the collective emotional dynamics within groups. In this work, we introduce th…
Nucleation phenomena and extreme vulnerability of spatial k-core systems
Leyang Xue, Shengling Gao, Lazaros K. Gallos +4
K-core percolation is a fundamental dynamical process in complex networks with applications that span numerous real-world systems. Earlier studies focus primarily on random network…
Community detection based on structural balance in signed networks
Peng Zhang, Xianyu Xu, Leyang Xue
In signed networks, some existing community detection methods treat negative connections as intercommunity links and positive ones as intracommunity links. However, it is important…
Possible origin for the similar phase transitions in k-core and interdependent networks
Shengling Gao, Leyang Xue, Bnaya Gross +3
The models of -core percolation and interdependent networks (IN) have been extensively studied in their respective fields. A recent study has revealed that they share several co…
Network localization strength regulates innovation diffusion with macro-level social influence
Leyang Xue, Kai-Cheng Yang, Peng-Bi Cui +1
Innovation diffusion in the networked population is an essential process that drives the progress of human society. Despite the recent advances in network science, a fundamental un…
Maximizing spreading in complex networks with risk in node activation
Leyang Xue, Peng Zhang, An Zeng
It is widely acknowledged that the initial spreaders play an important role for the wide spreading of information in complex networks. Thus, a variety of centrality-based methods h…
Enhancing the long-term performance of recommender system
Leyang Xue, Peng Zhang, An Zeng
Recommender system is a critically important tool in online commercial system and provide users with personalized recommendation on items. So far, numerous recommendation algorithm…
Predictability of diffusion-based recommender systems
Peng Zhang, Leyang Xue, An Zeng
The recommendation methods based on network diffusion have been shown to perform well in both recommendation accuracy and diversity. Nowdays, numerous extensions have been made to…