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 …

Transform of basic probability assignment to probability distribution is an important aspect of
decision making process. To address this issue, a weighted network method based on the …

Fuzzy membership function plays an important role in fuzzy set theory. However, how to
measure the information volume of fuzzy membership function is still an open issue. The …

Rumors affect a variety of human affairs, which may cause a serious social disorder. In order
to accurately simulate the propagation dynamics of rumors in real social networks and …

Abstract Dempster–Shafer (D–S) evidence theory has been studied and applied broadly,
owing to its advantage of effectively handling uncertainty problems in multisource …

The development of the Internet and social media has expanded the speed and scope of
information dissemination, but not all widely disseminated information is true. Especially …

There has been immense interest in uncertainty measurement because most real-world
problems are accompanied by uncertain events. Therefore, Deng entropy has been …

The identification of influential nodes in complex networks is an open issue. To address it,
many centrality measures have been proposed, among which the most representative …

Entropy has been widely measured the complexity of complex networks. At present, many
measures about entropies were defined based on the directed connection of nodes. The …

How to efficiently handle uncertain information has always been a problem which puzzles
some practitioners and researchers. The complex evidence theory has many applications in …