… deviations from standard theory can be explained by social preferences. Investigating settings
with both exogenous and endogenous information structures, we find that agency theory …

… decision‐making settings under incomplete information. By incomplete information, we
mean only partial information … In this paper, we propose a strategic Distributed Decision‐making …

… decision making within social networks, in which individuals have heterogeneous motivations
to participate, and networks … two parameters estimable with incomplete information. Further …

… social network analysis’ as an approach and set of techniques for the study of information …
This section examines the ways in which social network analysts examine networks and the …

… Large-scale group decision making has attracted much … a decision process including
estimating incomplete information, … Here, we utilize social network analysis (SNA) and graph …

… 3) A model of a social network data dependency model … incomplete social network data.Thus,
the main aspect of the mechanism for analyzing incomplete user data from social networks …

… we utilize social media data to identify the important actions which are described by the users
trying to achieve a goal. Towards this goal, we consider posts from the popular social news …

… to the modelling of interactions within social networks. We use an agentbased model to
explore the learning process, in a particular form of social network: a community of practice. It is …

… group decision-making process which is a small group with 3–5 persons. In recent years, a
large number of decision … part in the decision-making process as the strong support of the …

… decision matrixes as a result of different backgrounds and experience, which is common in
the process of group decision… of weight in the context of incomplete information from Sect. 3.2. …