Description:
The challenging but intriguing problem of modeling opinion formation dynamics in online social networks (OSNs) has attracted many researchers in recent years because the inherent complexities present in human opinion update process are yet to be clearly understood. Although the existing works adopt the distance-based homophily principle to model the neighbors' influences on the formation of an agent's opinion, they ignore several other key factors that govern the update process. Explicitly, we consider two essential aspects of the real-world opinion formation process that were not explored previously. First, we consider the predisposition of agents that leads to selective exposure to information when presented with different opinion sources. Second, we explicitly consider an agent's past interaction experience with others and how opinions encountered in the past interactions influence future opinion update process of that agent. Although the confidence level of an agent on the expressed opinion was previously used to distinguish an expert, we propose the concept of the relative credibility of the opinion sources for such distinction. For this, we take into account an agent's perceived credibility about others and the relative nature of human judgment when exposed to many opinion sources with different credibility. In addition, for the first time, the credibility of sources external to an OSN is considered in the opinion formation model proposed in this paper. We validate our model by analyzing its performance in capturing the real-world opinion formation dynamics using traces collected from an OSN, specifically Twitter. On the other hand, through simulation, various scenarios are created to observe the steady-state outcomes of the dynamics under various influences of our model parameters and network characteristics. Finally, different compelling and practical applications with social and economic values can be built based on our model.
Description:
Delirium is an acute deterioration in attention, conscious state, perception, and cognition of a person. While nurses possess the theoretical understanding of the condition, they lack insight into its early recognition and management. This systematic review aims to understand what factors influence nurses as they care for patients with delirium, and to identify best practices to improve overall clinical care. The Qualitative Evidence Synthesis (QES), as a strategy process to identify gaps in research, formulate new models or strategies for care, underpinned the review. In addition to specific inclusion and exclusion criteria, a methodological assessment, data were analysed using QES, as informed by the Joanna Briggs Institute Review process. Ten studies were identified and synthesised to generate four key themes. The themes included (1) nurse's knowledge deficit (2) increased workload and stress (3) safety concerns among nurse when caring for patients with delirium and (4) strategies used when caring for patients with delirium. Overall, the review has highlighted the need for increased delirium education and coping strategies among nurses to effectively care for patients with delirium. This may be augmented through regular education sessions to provide nurses with the confidence and competence to care for the acutely confused person.