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 …
Matching algorithms: Fundamentals, applications and challenges
Matching plays a vital role in the rational allocation of resources in many areas, ranging from
market operation to people's daily lives. In economics, the term matching theory is coined for …
market operation to people's daily lives. In economics, the term matching theory is coined for …
Graph learning: A survey
Graphs are widely used as a popular representation of the network structure of connected
data. Graph data can be found in a broad spectrum of application domains such as social …
data. Graph data can be found in a broad spectrum of application domains such as social …
Statistical analysis of the regional air quality index of Yangtze River Delta based on complex network theory
JB Liu, YQ Zheng, CC Lee - Applied Energy, 2024 - Elsevier
Air pollution is an urgent global issue with significant implications for the environment and
public health. This study focuses on the daily Air Quality Index (AQI) data from 27 major …
public health. This study focuses on the daily Air Quality Index (AQI) data from 27 major …
[HTML][HTML] Graph convolutional networks for graphs containing missing features
Abstract Graph Convolutional Network (GCN) has experienced great success in graph
analysis tasks. It works by smoothing the node features across the graph. The current GCN …
analysis tasks. It works by smoothing the node features across the graph. The current GCN …
Data-driven decision-making in COVID-19 response: A survey
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 …
work. In response to the epidemic, a lot of important decisions need to be taken to save …
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 …
Spatio-temporal graph learning for epidemic prediction
The COVID-19 pandemic has posed great challenges to public health services, government
agencies, and policymakers, raising huge social conflicts between public health and …
agencies, and policymakers, raising huge social conflicts between public health and …
Toward digital twin oriented modeling of complex networked systems and their dynamics: A comprehensive survey
This paper aims to provide a comprehensive critical overview on how entities and their
interactions in Complex Networked Systems (CNS) are modelled across disciplines as they …
interactions in Complex Networked Systems (CNS) are modelled across disciplines as they …
[HTML][HTML] Amplifying influence through coordinated behaviour in social networks
Political misinformation, astroturfing and organised trolling are online malicious behaviours
with significant real-world effects that rely on making the voices of the few sounds like the …
with significant real-world effects that rely on making the voices of the few sounds like the …