How to identify influential nodes in complex networks is still an open issue. In this paper, a
new multi-evidence centrality is proposed based on evidence theory. The existing measures …

How to identify influential nodes in complex networks is an important aspect in the study of
complex network. In this paper, a novel fuzzy local dimension (FLD) is proposed to rank the …

Under economic globalization, countries are linked through trade and investments. This
economic interdependence creates vulnerabilities. The indirect vulnerability induced by …

The fractal and self-similarity are important properties in complex networks. Information
dimension is a useful dimension for complex networks to reveal these properties. In this …

Bitcoin appeared as a currency, but it is treated as a speculative product due to its violent
fluctuation. The main purpose of this article is to find out the fluctuations similarities and …

Identifying sources of epidemic spreading or rumor diffusion from minority data is of
paramount importance in network science with great applied values to the society. However …

The crowd panic and its contagion play non-negligible roles at the time of the stock crash,
especially for China where inexperienced investors dominate the market. However, existing …

The limited penetrable horizontal visibility graph algorithm was recently introduced to map
time series in complex networks. In this work, we extend this algorithm to create a directed …

Complex networks have been widely applied in many complex systems existed in nature
and society because of its rapid development. Many methods have been proposed to …

We show that the emergence of systemic risk in complex systems can be understood from
the evolution of functional networks representing interactions inferred from fluctuation …