6 papers
ASIND: Alternating Sparse Identification for Predicting Network Dynamics Without Knowledge
Mingyu Kang, Jianxi Gao, Wenwu Yu +1
Identifying network dynamics is a critical yet challenging task to to understand the mechanism of real-world social systems. There are two types of algorithms, and one requires the…
Revealing Chaotic Dependence and Degree-Structure Mechanisms in Optimal Pinning Control of Complex Networks
Qingyang Liu, Tianlong Fan, Liming Pan +1
Identifying an optimal set of driver nodes to achieve synchronization via pinning control is a fundamental challenge in complex network science, limited by computational intractabi…
Basic Cycle Ratio: Cost-Effective Ranking of Influential Spreaders from Local and Global Perspectives
Wenxin Zheng, Wenfeng Shi, Tianlong Fan +1
Spreading processes are fundamental to complex networks. Identifying influential spreaders with dual local and global roles presents a crucial yet challenging task. To address this…
Critical Nodes Identification in Complex Networks: A Survey
Duxin Chen, Jiawen Chen, Xiaoyu Zhang +5
Complex networks have become essential tools for understanding diverse phenomena in social systems, traffic systems, biomolecular systems, and financial systems. Identifying critic…
EpiLLM: Unlocking the Potential of Large Language Models in Epidemic Forecasting
Chenghua Gong, Rui Sun, Yuhao Zheng +4
Advanced epidemic forecasting is critical for enabling precision containment strategies, highlighting its strategic importance for public health security. While recent advances in…
AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models
Yuhao Zheng, Chenghua Gong, Rui Sun +3
Popularity prediction in information cascades plays a crucial role in social computing, with broad applications in viral marketing, misinformation control, and content recommendati…