The fractal property is one of the most important properties in complex networks. It describes
the power law relationship between characteristics of the box and the box size. There are …

The analysis of time series and images is significant across different fields due to their
widespread applications. In the past few decades, many approaches have been developed …

Combining basic probability assignments (BPAs) with time series is common in real-life
cases. Therefore, a new evidence fusion approach based on belief entropy and a visibility …

The importance of researches on complex networks is becoming more and more prominent.
How to identify influential nodes is still an urgent and crucial issue of many researches on …

The mining of important nodes in complex networks is a topic of immense interest due to its
wide applications across many disciplines. In this paper, a Local Structure Entropy (LSE) …

How to identify influential nodes in complex networks is an open issue. Several centrality
measures have been proposed to address this. But these studies concentrate only on only …

The issue of mining influential nodes in complex networks is a topic of immense interest.
Recently, many methods have been proposed, but they suffer from certain limitations. In this …

Dempster-Shafer evidence theory (DS) is an effective instrument for merging the collected
pieces of basic probability assignment (BPA), and it exhibits superiority in achieving …

The essence of the evolution of the green innovation ecosystem is the process by which the
positive strategy of green innovation spreads in a complex network. In this study, the" Object …

How to identify influential spreaders in complex networks is still an open issue in network
science. Many approaches from different perspectives have been proposed to identify vital …