activity
20192022
most citedData-driven Computational Social Science: A Survey

76 citations · 296 across the 22 of their papers we have counts for

collaborators

25 papers

cs.SI20221 cited

Detecting Outlier Patterns with Query-based Artificially Generated Searching Conditions

Shuo Yu, Feng Xia, Yuchen Sun +3

In the age of social computing, finding interesting network patterns or motifs is significant and critical for various areas such as decision intelligence, intrusion detection, med…

cs.SI20222 cited

Familiarity-based Collaborative Team Recognition in Academic Social Networks

Shuo Yu, Feng Xia, Chen Zhang +2

Collaborative teamwork is key to major scientific discoveries. However, the prevalence of collaboration among researchers makes team recognition increasingly challenging. Previous…

cs.SI20222 cited

CHIEF: Clustering with Higher-order Motifs in Big Networks

Feng Xia, Shuo Yu, Chengfei Liu +1

Clustering a group of vertices in networks facilitates applications across different domains, such as social computing and Internet of Things. However, challenges arises for cluste…

cs.SI20225 cited

Data-Driven Decision Making in COVID-19 Response: A Survey

Shuo Yu, Qing Qing, Chen Zhang +3

COVID-19 has spread all over the world, having an enormous effect on our daily life and work. In response to the epidemic, a lot of important decisions need to be taken to save com…

cs.LG20221 cited

Deep Graph Learning for Anomalous Citation Detection

Jiaying Liu, Feng Xia, Xu Feng +2

Anomaly detection is one of the most active research areas in various critical domains, such as healthcare, fintech, and public security. However, little attention has been paid to…

cs.DL20223 cited

Web of Scholars: A Scholar Knowledge Graph

Jiaying Liu, Jing Ren, Wenqing Zheng +3

In this work, we demonstrate a novel system, namely Web of Scholars, which integrates state-of-the-art mining techniques to search, mine, and visualize complex networks behind scho…