The evolution dynamics of public opinion is a hot issue in complex networks research. And
the Ising model is the earliest classic dynamic model of public opinion. Although signed …

This paper investigates how the heterogenous relationships around us affect the spread of
diverse opinions in the population. We apply the Potts model, derived from condensed …

With high-speed communication and information sharing in social networks, the effective
immunity to specific false information would markedly reduce the loss brought by the …

Time series could be mapped into complex networks through the visibility or horizontal
visibility algorithms, and the properties of the constructed network reflect the nonlinear …

Multiplex networks are very flexible at showing heterogeneous relationships between
identical entities. Link prediction is a fundamental problem in network science. There are …

This study develops a holistic approach that underlines the effect of spatial, behavioral, and
perceptional dimensions on walkability at the neighborhood scale. The study recognizes …

Computing consensus states via global sign balancing is a key step in social network
analysis. This paper presents graphB+, a fast algorithm for balancing signed graphs based …

Heterogeneous information networks (HINs), which have rich semantic relations, can flexibly
model multisource heterogeneous data in recommendation systems. Learning more …

Link prediction in temporal and multiplex networks is a crucial issue across both applied and
scientific disciplines within the study of complex networks. Recent advances in hardware …

NMF-based models in unsigned networks, the links of which are positive links only, have
been applied in many aspects, such as community detection, link prediction, etc. However …