Fake news propagation: A review of epidemic models, datasets, and insights
Fake news propagation is a complex phenomenon influenced by a multitude of factors
whose identification and impact assessment is challenging. Although many models have …
whose identification and impact assessment is challenging. Although many models have …
Complex networks
I Amaral - Encyclopedia of Big Data, 2022 - Springer
The Charter of Fundamental Rights is a legal document that protects individuals and legal
entities from actions that disregard fundamental rights. It covers personal, civic, political …
entities from actions that disregard fundamental rights. It covers personal, civic, political …
Competing spreading dynamics in simplicial complex
Interactions in biology and social systems are not restricted to pairwise but can take arbitrary
sizes. Extensive studies have revealed that the arbitrary-sized interactions significantly affect …
sizes. Extensive studies have revealed that the arbitrary-sized interactions significantly affect …
Evolution of cooperation with asymmetric social interactions
How cooperation emerges in human societies is both an evolutionary enigma and a
practical problem with tangible implications for societal health. Population structure has long …
practical problem with tangible implications for societal health. Population structure has long …
An invertible graph diffusion neural network for source localization
Localizing the source of graph diffusion phenomena, such as misinformation propagation, is
an important yet extremely challenging task in the real world. Existing source localization …
an important yet extremely challenging task in the real world. Existing source localization …
Effects of stubbornness on opinion dynamics
As an important factor governing opinion dynamics, stubbornness strongly affects various
aspects of opinion formation. However, a systematically theoretical study about the …
aspects of opinion formation. However, a systematically theoretical study about the …
Community detection and reciprocity in networks by jointly modelling pairs of edges
M Contisciani, H Safdari… - Journal of Complex …, 2022 - academic.oup.com
To unravel the driving patterns of networks, the most popular models rely on community
detection algorithms. However, these approaches are generally unable to reproduce the …
detection algorithms. However, these approaches are generally unable to reproduce the …
Modeling and analysis of a coupled SIS bi-virus model
The paper deals with the setting where two viruses (say virus 1 and virus 2) coexist in a
population, and they are not necessarily mutually exclusive, in the sense that infection due …
population, and they are not necessarily mutually exclusive, in the sense that infection due …
Vulnerability of link-weighted complex networks in central attacks and fallback strategy
In this work, we study the vulnerability of link-weighted networks against different central-
attack strategies. We simulate simultaneous and sequential attacks on networks based on …
attack strategies. We simulate simultaneous and sequential attacks on networks based on …
Asymptotic dependence of in-and out-degrees in a preferential attachment model with reciprocity
T Wang, SI Resnick - Extremes, 2022 - Springer
Reciprocity characterizes the information exchange between users in a network, and some
empirical studies have revealed that social networks have a high proportion of reciprocal …
empirical studies have revealed that social networks have a high proportion of reciprocal …