Complex network theory is a multidisciplinary research direction of complexity science which
has experienced a rapid surge of interest over the last two decades. Its applications in land …

Many real-world networks are demonstrated to either have layered network structures in
themselves or interconnect with other networks, forming multilayer network structures. In this …

The traffic dynamics of multi-layer networks has attracted a great deal of interest since many
real networks are comprised of two or more layers of subnetworks. Due to its low traffic …

Previous urban traffic network-based studies have been based mostly on single-layer
networks. Based on their shortcomings, starting from the perspective of a multilayer urban …

Searching for key nodes of complex network and clustering communities is an important and
practical solution in community detection algorithms. According to above-mentioned notion …

The traffic dynamics of multi-layer networks has become a hot research topic since many
networks are comprised of two or more layers of subnetworks. Due to its low traffic capacity …

Improving the traffic capacity of multilayer networks has been the subject of extensive
interest and research. This paper proposes an effective strategy to improve traffic capacity of …

The study of traffic dynamics on complex networks has attracted much attention due to its
practical role in transportation networks. Different transportation networks, such as aviation …

It is found that there is a close relationship between network traffic capacity and network
topology. A reasonable network topology can increase traffic capacity and thus suppress …

The transport efficiency is one of the critical parameters to evaluate the performance of a
network. In this paper, we propose an improved efficient (IE) strategy to enhance the network …