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Data-driven computational social science: A survey
Social science concerns issues on individuals, relationships, and the whole society. The
complexity of research topics in social science makes it the amalgamation of multiple …
complexity of research topics in social science makes it the amalgamation of multiple …
Network embedding: Taxonomies, frameworks and applications
Networks are a general language for describing complex systems of interacting entities. In
the real world, a network always contains massive nodes, edges and additional complex …
the real world, a network always contains massive nodes, edges and additional complex …
Multimodal educational data fusion for students' mental health detection
Mental health issues can lead to serious consequences like depression, self-mutilation, and
worse, especially for university students who are not physically and mentally mature. Not all …
worse, especially for university students who are not physically and mentally mature. Not all …
Graph augmentation learning
Graph Augmentation Learning (GAL) provides outstanding solutions for graph learning in
handling incomplete data, noise data, etc. Numerous GAL methods have been proposed for …
handling incomplete data, noise data, etc. Numerous GAL methods have been proposed for …
Network representation learning: From traditional feature learning to deep learning
Network representation learning (NRL) is an effective graph analytics technique and
promotes users to deeply understand the hidden characteristics of graph data. It has been …
promotes users to deeply understand the hidden characteristics of graph data. It has been …
The face of social networks: Naive observers' accurate assessment of others' social network positions from faces
We examined whether, even at zero acquaintance, observers accurately infer others' social
network positions—specifically, the number and patterning of social ties (eg, brokerage—the …
network positions—specifically, the number and patterning of social ties (eg, brokerage—the …
Educational anomaly analytics: features, methods, and challenges
Anomalies in education affect the personal careers of students and universities' retention
rates. Understanding the laws behind educational anomalies promotes the development of …
rates. Understanding the laws behind educational anomalies promotes the development of …
The effect of facial perception and academic performance on social centrality
Facial perception is of significant influence on the positions of people in social networks.
Particularly, students' facial traits can affect their social centrality in educational settings (eg …
Particularly, students' facial traits can affect their social centrality in educational settings (eg …
Web of students: Class-level friendship network discovery from educational big data
Classmate friendships are a major aspect of university social experience. Taking classes
together is one of the main ways for students to build friendships. Consequently, class-level …
together is one of the main ways for students to build friendships. Consequently, class-level …
Lost at starting line: Predicting maladaptation of university freshmen based on educational big data
The transition from secondary education to higher education could be challenging for most
freshmen. For students who fail to adjust to university life smoothly, their status may worsen if …
freshmen. For students who fail to adjust to university life smoothly, their status may worsen if …