We introduce a minimal opinion formation model that is quite flexible and can reproduce a
wide variety of the existing micro-influence assumptions and models. The model can be …

Recommender systems have become increasingly accurate in suggesting content to users,
resulting in users primarily consuming content through recommendations. This can cause …

Many of the traditional recommendation algorithms are designed based on the fundamental
idea of mining or learning correlative patterns from data to estimate the user-item correlative …

Understanding how individuals change their opinions is essential to mitigating the harmful
effect of fake news and stop** opinion polarization. The current situation in the field of …

Genomic epidemiology plays an ever-increasing role in our understanding of and response
to the spread of infectious pathogens. Phylogeography, the reconstruction of the historical …

We present a short review based on the nonlinear q-voter model about problems and
methods raised within statistical physics of opinion formation (SPOOF). We describe …

With the success of general conceptual frameworks of statistical physics, many scholars
have tried to apply these concepts to other interdisciplinary fields, such as socio-politics …

Currently, China is in the period of social transformation. Such transformation continuously
results in high group polarization behaviors, which attracts many attentions. In order to …

Causal graph, as an effective and powerful tool for causal modeling, is usually assumed as
a Directed Acyclic Graph (DAG). However, recommender systems usually involve feedback …

Recently, social debates have been marked by increased polarization of social groups.
Such polarization not only implies that groups cannot reach a consensus on fundamental …