Centrality indices are a popular tool to analyze structural aspects of psychological networks.
As centrality indices were originally developed in the context of social networks, it is unclear …

This paper proposes a consensus-trust driven framework of bidirectional interaction for
social network large-group decision making. Firstly, the concepts of interaction consensus …

To slow the spread of the novel coronavirus, many universities shifted to online instruction
and now face the question of whether and how to resume in-person instruction. This article …

Over the past two decades, complex network theory provided the ideal framework for
investigating the intimate relationships between the topological properties characterizing the …

Organizations are simultaneously embedded in interorganizational networks and
ecosystems, yet research on networks and ecosystems developed in isolation. The aim of …

The use of the internet and social media have changed consumer behavior and the ways in
which companies conduct their business. Social and digital marketing offers significant …

Although the fintech subject has been widely discussed in the press and communications
media, there is a lack of consensus on the definition of the term in the scientific literature and …

The applied social science literature using factor and network models continues to grow
rapidly. Most work reads like an exercise in model fitting, and falls short of theory building …

China faces enormous pressure to reduce carbon emissions. Since the agglomeration and
driving effect of urban agglomerations have continued to increase, relying on the network …

Nowadays, with the increasing complexity of decision-making environment, more and more
large-scale group decision making (LGDM) problems are faced. Due to the existence of …