The identification of influential spreaders in complex networks is a popular topic in studies of
network characteristics. Many centrality measures have been proposed to address this …

Link prediction in complex networks has attracted considerable attention from
interdisciplinary research communities, due to its ubiquitous applications in biological …

Link prediction provides methods for estimating potential connections in complex networks
that have theoretical and practical relevance for personalized recommendations and various …

Real-world networks are composed of diverse interacting and evolving entities, while most
of existing researches simply characterize them as particular static networks, without …

In social topics, the study of rumor propagation mechanisms is essential to master social
behavior. In this paper, aiming to explore the adversarial game relationship between rumor …

In recent years, multiplex networks have been introduced to describe real complex systems,
where the same group of entities make different types of interaction. In a multiplex network …

Influential nodes in complex networks play more significant role than other nodes in many
applications such as viral marketing. Identification of the most influential nodes and ranking …

Healthcare organizations are under increasing pressure to improve productivity, gain
competitive advantage and reduce costs. In many cases, despite management already …

This paper proposed a novel futuristic approach to support the educational informatics and
overcome the conventional system of attitude measure. For this, we presented a significant …

The structural properties of network system components often display strikingly similar
behavior when probed at a macroscopic perspective. Those structural properties, largely …