A comprehensive survey on trustworthy graph neural networks: Privacy, robustness, fairness, and explainability

E Dai, T Zhao, H Zhu, J Xu, Z Guo, H Liu, J Tang… - arXiv preprint arXiv …, 2022 - arxiv.org
Graph Neural Networks (GNNs) have made rapid developments in the recent years. Due to
their great ability in modeling graph-structured data, GNNs are vastly used in various …

A meta-analysis of longitudinal peer influence effects in childhood and adolescence.

M Giletta, S Choukas-Bradley, M Maes… - Psychological …, 2021 - psycnet.apa.org
For decades, psychological research has examined the extent to which children's and
adolescents' behavior is influenced by the behavior of their peers (ie, peer influence effects) …

A hybrid visualization model for knowledge mapping: Scientometrics, SAOM, and SAO

G Xiao, L Chen, X Chen, C Jiang, A Ni… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Predicting the crowd flow in various areas of the city is of strategic importance for traffic
control and public safety. In recent years, crowd flow prediction based on spatio-temporal …

Social tipping processes towards climate action: A conceptual framework

R Winkelmann, JF Donges, EK Smith, M Milkoreit… - Ecological …, 2022 - Elsevier
Societal transformations are necessary to address critical global challenges, such as
mitigation of anthropogenic climate change and reaching UN sustainable development …

Foundations and modeling of dynamic networks using dynamic graph neural networks: A survey

J Skarding, B Gabrys, K Musial - iEEE Access, 2021 - ieeexplore.ieee.org
Dynamic networks are used in a wide range of fields, including social network analysis,
recommender systems and epidemiology. Representing complex networks as structures …

How to deal with reverse causality using panel data? Recommendations for researchers based on a simulation study

L Leszczensky, T Wolbring - Sociological Methods & …, 2022 - journals.sagepub.com
Does X affect Y? Answering this question is particularly difficult if reverse causality is
looming. Many social scientists turn to panel data to address such questions of causal …

[图书][B] How behavior spreads: The science of complex contagions

D Centola - 2018 - igi-global.com
How Behavior Spreads: Page 1 International Journal of Applied Behavioral Economics
Volume 10 • Issue 1 • January-March 2021  Copyright©2021,IGIGlobal.CopyingordistributinginprintorelectronicformswithoutwrittenpermissionofIGIGlobalisprohibited …

Tools and methods in participatory modeling: Selecting the right tool for the job

A Voinov, K Jenni, S Gray, N Kolagani, PD Glynn… - … Modelling & Software, 2018 - Elsevier
Various tools and methods are used in participatory modelling, at different stages of the
process and for different purposes. The diversity of tools and methods can create challenges …

Beyond screen time: Identity development in the digital age

I Granic, H Morita, H Scholten - Psychological Inquiry, 2020 - Taylor & Francis
We are in the midst of a global transition in which digital “screens” are no longer simply
entertainment devices and distractions; rather, adolescents are currently living in a hybrid …

The digital divide has grown old: Determinants of a digital divide among seniors

TN Friemel - New media & society, 2016 - journals.sagepub.com
The diffusion of the Internet is reaching a level between 80% and 90% in Western societies.
Yet, while the digital divide is closing for young cohorts, it is still an issue when comparing …