Community detection is one of the most popular researches in a variety of complex systems,
ranging from biology to sociology. In recent years, there's an increasing focus on the rapid …

Abstract reasoning, particularly in the visual domain, is a complex human ability, but it
remains a challenging problem for artificial neural learning systems. In this work we propose …

The interregional transportation networks (ITNs) have a significant impact on regional
population movement, trade flow and economic development. Compared to single-layer …

Different aspects of synchronization emerging in networks of coupled oscillators have been
examined prominently in the last decades. Nevertheless, little attention has been paid on the …

Studying the networked nature of social and cognitive aspects of learner interactions is the
key to understanding how successful collaborative learning occurs in asynchronous online …

Multiplex networks describe a large number of complex social, biological and transportation
networks where a set of nodes is connected by links of different nature and connotation …

Blended learning, as an efficient teaching mode that combines the advantages of both
online and offline learning, has been widely applied in universities. Nevertheless, the …

The increasing diversity of transportation modes and the rapid expansion of transportation
networks present significant challenges for modeling multi-layer comprehensive …

The paper introduces the DIverse MultiPLEx Generalized Random Dot Product Graph
(DIMPLE-GRDPG) network model where all layers of the network have the same collection …

Identifying influential nodes in multiplex complex networks have a critical importance to
implement in viral marketing and other real-world information diffusion applications …