5 papers
Inductive Dual-Polarity Modeling via Static-Dynamic Disentanglement for Dynamic Signed Networks
Yikang Hou, Junjie Huang, Yijun Ran +1
Dynamic signed networks (DSNs) are common in online platforms, where time-stamped positive and negative relations evolve over time. A core task in DSNs is dynamic edge prediction,…
A generalized motif-based Naïve Bayes model for sign prediction in complex networks
Yijun Ran, Si-Yuan Liu, Junjie Huang +2
Signed networks, encoding both positive and negative interactions, are essential for modeling complex systems in social and financial domains. Sign prediction, which infers the sig…
Identifying social bots via heterogeneous motifs based on Naïve Bayes model
Yijun Ran, Jingjing Xiao, Xiao-Ke Xu
Identifying social bots has become a critical challenge due to their significant influence on social media ecosystems. Despite advancements in detection methods, most topology-base…
Machine Learning Informed by Micro and Mesoscopic Statistical Physics Methods for Community Detection
Yijun Ran, Junfan Yi, Wei Si +2
Community detection plays a crucial role in understanding the structural organization of complex networks. Previous methods, particularly those from statistical physics, primarily…
Uncovering multi-order Popularity and Similarity Mechanisms in Link Prediction by graphlet predictors
Yong-Jian He, Yijun Ran, Zengru Di +2
Link prediction has become a critical problem in network science and has thus attracted increasing research interest. Popularity and similarity are two primary mechanisms in the fo…