Traditional large-scale group decision-making (LSGDM) methods assume that the decision-
makers (DMs) are independent, and the trust relationships among DMs in the social network …

Compared with group decision making (GDM), it is more difficult to reach a consensus in
large-scale group decision making (LSGDM) owing to the large number of decision makers …

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 …

With the development of social media, social networks (SNs) have gradually become the link
of information exchange between people. The social trust network (STN), a typical SN, is …

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 …

In traditional social network analysis-based large-scale group decision making (LSGDM),
decision makers (DMs) often trust others based on social prestige/status without sufficient …

Group decision-making (GDM) in large-group social network environment (LGSNE) has
attracted considerable attention in the field of decision science. Social relationships exist …

Large-scale group decision-making (LSGDM) based on social networks has become an
important part of practical decision-making. The trust relationship in social networks has an …

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

Trust relationship is an effective basis for reducing the dimensionality of decision makers
(DMs) for group decision making (GDM) problems in the context of social networks, and …