Search Results for author: Jianxi Gao

Found 6 papers, 1 papers with code

Bullwhip Effect of Supply Networks: Joint Impact of Network Structure and Market Demand

no code implementations8 Aug 2022 Jin-Zhu Yü, Chencheng Cai, Jianxi Gao

The progressive amplification of fluctuations in demand as the demand travels upstream the supply chains is known as the bullwhip effect.

Position

Reconstructing Sparse Multiplex Networks with Application to Covert Networks

1 code implementation29 Jul 2022 Jin-Zhu Yu, Mincheng Wu, Gisela Bichler, Felipe Aros-Vera, Jianxi Gao

For law enforcement agencies, the inferred complete network structure can be used to develop more effective strategies for covert network interdiction.

Decision Making

Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics

no code implementations11 Jan 2022 Chunheng Jiang, Tejaswini Pedapati, Pin-Yu Chen, Yizhou Sun, Jianxi Gao

To this end, we construct a network mapping $\phi$, converting a neural network $G_A$ to a directed line graph $G_B$ that is defined on those edges in $G_A$.

Model Selection

Universality of noise-induced resilience restoration in spatially-extended ecological systems

no code implementations24 Nov 2020 Cheng Ma, Gyorgy Korniss, Boleslaw K. Szymanski, Jianxi Gao

Resilience restoration focuses on the ability of spatially-extended systems and the required time to recover to their desired states under stochastic environmental conditions.

Network resilience

no code implementations26 Jul 2020 Xueming Liu, Daqing Li, Manqing Ma, Boleslaw K. Szymanski, H. Eugene Stanley, Jianxi Gao

Many systems on our planet are known to shift abruptly and irreversibly from one state to another when they are forced across a "tipping point," such as mass extinctions in ecological networks, cascading failures in infrastructure systems, and social convention changes in human and animal networks.

Modeling competitive evolution of multiple languages

no code implementations16 Jul 2019 Zejie Zhou, Boleslaw K. Szymanski, Jianxi Gao

Our analysis furthers our understanding of multiple language evolution and the role of tipping points in behavioral transitions.

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