Modeling confirmation bias and polarization

M Del Vicario, A Scala, G Caldarelli, HE Stanley… - Scientific reports, 2017 - nature.com
Online users tend to select claims that adhere to their system of beliefs and to ignore
dissenting information. Confirmation bias, indeed, plays a pivotal role in viral phenomena …

Rumor spreading model with the different attitudes towards rumors

Y Hu, Q Pan, W Hou, M He - Physica A: Statistical Mechanics and its …, 2018 - Elsevier
Rumor spreading has a profound influence on people's well-being and social stability. There
are many factors influencing rumor spreading. In this paper, we recommended an …

Dynamic mechanism of social bots interfering with public opinion in network

C Cheng, Y Luo, C Yu - Physica A: statistical mechanics and its applications, 2020 - Elsevier
Participants in discussions on online social networks tend to become polarized into clusters
of users with diametrically opposite opinions. Recent evidence has suggested that social …

Dynamical analysis of rumor spreading model in homogeneous complex networks

J Li, H Jiang, Z Yu, C Hu - Applied Mathematics and Computation, 2019 - Elsevier
In this paper, an I2S2R rumor spreading model in complex networks is established and
analyzed. Firstly, the threshold value is acquired to identify the existence and stability of …

Characteristics of successful opinion leaders in a bounded confidence model

S Chen, DH Glass, M McCartney - Physica A: Statistical Mechanics and its …, 2016 - Elsevier
This paper analyses the impact of competing opinion leaders on attracting followers in a
social group based on a bounded confidence model in terms of four characteristics …

The polarization within and across individuals: The hierarchical Ising opinion model

HLJ Van der Maas, J Dalege… - Journal of complex …, 2020 - academic.oup.com
Polarization of opinions is a societal threat. It involves psychological processes as well as
group dynamics, a popular topic in statistical physics. However, the interaction between the …

Theories for influencer identification in complex networks

S Pei, F Morone, HA Makse - … phenomena in social systems: Influence and …, 2018 - Springer
In social and biological systems, the structural heterogeneity of interaction networks gives
rise to the emergence of a small set of influential nodes, or influencers, in a series of …

How social learning adds up to a culture: from birdsong to human public opinion

O Tchernichovski, O Feher… - Journal of …, 2017 - journals.biologists.com
Distributed social learning may occur at many temporal and spatial scales, but it rarely adds
up to a stable culture. Cultures vary in stability and diversity (polymorphism), ranging from …

Efficient collective influence maximization in cascading processes with first-order transitions

S Pei, X Teng, J Shaman, F Morone, HA Makse - Scientific reports, 2017 - nature.com
In many social and biological networks, the collective dynamics of the entire system can be
shaped by a small set of influential units through a global cascading process, manifested by …

Active sensing of social networks

HT Wai, A Scaglione, A Leshem - IEEE Transactions on Signal …, 2016 - ieeexplore.ieee.org
This paper develops an active sensing method to estimate the relative weight (or trust)
agents place on their neighbors' information in a social network. The model used for the …