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 …

How to assess the importance of nodes in the network is an open question. There are many
ways to identify the importance of nodes in complex networks. However, these methods …

In this paper, the Bush–Mosteller (BM) reinforcement learning (RL) scheme is introduced to
model the route choice behaviors of the travelers in traffic networks, who aim to seek the …

Divergence measure is widely used in many applications. To efficiently deal with uncertainty
in real applications, basic probability assignment (BPA) in Dempster-Shafer evidence …

Evolutionary game on complex networks provides a new research framework for analyzing
and predicting group decision-making behavior in an interactive environment, in which most …

Node centrality plays an important role in many dynamical processes taking place on
complex networks. In this work, we associate the individuals' collective influence (CI) with …

The conflict between individual and collective interests is in the heart of every social
dilemmas established by evolutionary game theory. We cannot avoid these conflicts but …

Recent studies show that different update rules are invariant regarding the evolutionary
outcomes for a well-mixed population or homogeneous network. In this paper, we …

In reality, individuals often tend to enhance their competitiveness by forming alliances with
the partners sharing the same view. Motivated by this phenomenon, we propose a novel …

In nature and human society, individual's reputation and selection of interaction objects play
a very important role in explaining the emergence and maintenance of cooperation …