activity
20182024
most citedE-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction

27 citations · 27 across the 2 of their papers we have counts for

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5 papers · 1 filter

cs.SI2024

Backfire Effect Reveals Early Controversy in Online Media

Songtao Peng, Tao Jin, Kailun Zhu +2

The rapid development of online media has significantly facilitated the public's information consumption, knowledge acquisition, and opinion exchange. However, it has also led to m…

cs.SI2019

Subgraph Networks with Application to Structural Feature Space Expansion

Qi Xuan, Jinhuan Wang, Minghao Zhao +4

Real-world networks exhibit prominent hierarchical and modular structures, with various subgraphs as building blocks. Most existing studies simply consider distinct subgraphs as mo…

cs.SI201927 cited

E-LSTM-D: A Deep Learning Framework for Dynamic Network Link Prediction

Jinyin Chen, Jian Zhang, Xuanheng Xu +4

Predicting the potential relations between nodes in networks, known as link prediction, has long been a challenge in network science. However, most studies just focused on link pre…

cs.SI2018

A Self-Learning Information Diffusion Model for Smart Social Networks

Qi Xuan, Xincheng Shu, Zhongyuan Ruan +3

In this big data era, more and more social activities are digitized thereby becoming traceable, and thus the studies of social networks attract increasing attention from academia.…

cs.SI2018

Target Defense Against Link-Prediction-Based Attacks via Evolutionary Perturbations

Shanqing Yu, Minghao Zhao, Chenbo Fu +4

In social networks, by removing some target-sensitive links, privacy protection might be achieved. However, some hidden links can still be re-observed by link prediction methods on…