In the big data era, it is practical and generalizable to use social media data for decision-
making. Thus, determining how to effectively use this kind of data to support large-scale …

Aiming at the complex and changeable environment and the low public participation in
emergency decision-making, this article proposes a method for the dynamic collaboration of …

The development of big data and social media has driven large-scale group decision
making (LSGDM) to merge with social networks and focus on individual behavioral factors …

Large-scale group decision making (LSGDM) involving a large number of experts has
attracted more and more scholars' attention. Many LSGDM methods assumed that experts …

Large-scale group decision-making (LSGDM) under a social network context has attracted
much attention in the field of decision science. The clustering of individual opinions and the …

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 …

Due to the development of network technology, large-scale group decision making (LSGDM)
has become increasingly concerned. In this paper, a k-core decomposition-based opinion …

With the development of big data and social computing, large-scale group decision making
(LGDM) problems attract much attention and become merging with social networks or …

Experts are assumed to be mutually independent and incomplete decision matrices are
used, in traditional large-scale group decision-making (LSGDM). Social network analysis …

Social relationships are critical to the group decision-making (GDM) process, especially for
large-scale scenarios. Conventional GDM models have several drawbacks when applied to …