Social media provides a platform where users share an abundance of information on anything and everything. The information may consist of users’ emotions, feedbacks, reviews, and personal experiences. In this research a novel Ontology-based Sentiment Analysis Process for Social Media content (OSAPS) with negative sentiments is presented. The social media content is automatically extracted from ...

This literature provided a basis for SD model building. Additional experiences in Indonesia maintained model realism. One SD corruption overview is based on the oft cited idea that 'amount of corruption' is part of reinforcing loops linked to 'amount of bureaucratic red tape.' In this view, corruption is imbedded in positive feedback loops also linking it to lowered economic openness, a weak le...

Teaching with case studies is an effective method that actively engages students. This paper describes two case studies we developed and our experiences teaching security management with these two case studies. The case studies were used to teach risk management and incident response planning. Each case study includes the learning objectives, one/more case scenarios and a series of case discuss...

Experts may be modeled as managing the inductive dynamics of knowledge acquisition in the knowledge processes of society. Who becomes an expert may be modeled as a random process under the influence of strong positive feedback loops in the social mechanisms giving access to knowledge. These models have implications for the design of expert systems. 1 The Nature of Expertise Expert systems add a...

Many platforms are characterized by the fact that future user arrivals are likely to have preferences similar to users who were satisfied in the past. In other words, arrivals exhibit {\em positive externalities}. We study multiarmed bandit (MAB) problems with positive externalities. Our model has a finite number of arms and users are distinguished by the arm(s) they prefer. We model positive e...

Social network sites (SNS) have increasingly become widely used technologies that are well integrated in the daily routines of many individuals. As venues for information sharing, SNS provide a diversity of communication capabilities and feedback features that can stir emotions, attitudes, beliefs, as well as influencing many decisions. In this paper, we argue that the meanings that SNS feedbac...

Many players in electronic markets have to cope with much higher amount of uncertainty as to quality and reliability of the products they buy and the information they obtain from other peers in the respective online business communities. One way to address this uncertainty problem is to use information such as feedbacks about past experiences to help making recommendation and judgment on produc...

Introduction The purpose of this paper is to understand the sources and consequences of Christian Democratic dominance in Italy. As opposed to studies that postulate single cause and effect relationships among variables as the central explanation for a particular political outcome, the variables in this analysis will be treated as interrelated parts in a system where different types of patterns...

This paper argues that trust and reputation models should take into account not only direct experiences (local trust) and experiences from the circle of ”friends”, but also be attack resilient by design in the presence of dishonest feedbacks and sparse network connectivity. We first revisit EigenTrust, one of the most popular reputation systems to date, and identify the inherent vulnerabilities...

Research on emotion experience in response to valenced stimuli has consistently shown that people with schizophrenia have the capacity to experience emotion. Specifically, people with schizophrenia report similar experiences to both positive and negative emotion-eliciting stimuli as individuals without the disorder. However, it is less clear if people with schizophrenia experience similar level...