Spread of misinformation on social media: What contributes to it and how to combat it

S Chen, L **ao, A Kumar - Computers in Human Behavior, 2023‏ - Elsevier
With the prevalence and increasing impact of misinformation on social media, numerous
studies have explored the characteristics of misinformation. However, we lack a holistic …

Percolation on complex networks: Theory and application

M Li, RR Liu, L Lü, MB Hu, S Xu, YC Zhang - Physics reports, 2021‏ - Elsevier
In the last two decades, network science has blossomed and influenced various fields, such
as statistical physics, computer science, biology and sociology, from the perspective of the …

Vital nodes identification in complex networks

L Lü, D Chen, XL Ren, QM Zhang, YC Zhang, T Zhou - Physics reports, 2016‏ - Elsevier
Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

Epidemic processes in complex networks

R Pastor-Satorras, C Castellano, P Van Mieghem… - Reviews of modern …, 2015‏ - APS
In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

Induction of social contagion for diverse outcomes in structured experiments in isolated villages

EM Airoldi, NA Christakis - Science, 2024‏ - science.org
Certain people occupy topological positions within social networks that enhance their
effectiveness at inducing spillovers. We mapped face-to-face networks among 24,702 …

The structure and dynamics of multilayer networks

S Boccaletti, G Bianconi, R Criado, CI Del Genio… - Physics reports, 2014‏ - Elsevier
In the past years, network theory has successfully characterized the interaction among the
constituents of a variety of complex systems, ranging from biological to technological, and …

The H-index of a network node and its relation to degree and coreness

L Lü, T Zhou, QM Zhang, HE Stanley - Nature communications, 2016‏ - nature.com
Identifying influential nodes in dynamical processes is crucial in understanding network
structure and function. Degree, H-index and coreness are widely used metrics, but …

The critical node detection problem in networks: A survey

M Lalou, MA Tahraoui, H Kheddouci - Computer Science Review, 2018‏ - Elsevier
In networks, not all nodes have the same importance, and some are more important than
others. The issue of finding the most important nodes in networks has been addressed …

Identifying influential spreaders by gravity model

Z Li, T Ren, X Ma, S Liu, Y Zhang, T Zhou - Scientific reports, 2019‏ - nature.com
Identifying influential spreaders in complex networks is crucial in understanding, controlling
and accelerating spreading processes for diseases, information, innovations, behaviors, and …

Vaccination strategies against COVID-19 and the diffusion of anti-vaccination views

R Prieto Curiel, H González Ramírez - Scientific Reports, 2021‏ - nature.com
Misinformation is usually adjusted to fit distinct narratives and propagates rapidly through
social networks. False beliefs, once adopted, are rarely corrected. Amidst the COVID-19 …