Titlebook: Social Computing, Behavioral-Cultural Modeling and Prediction; 6th International Co Ariel M. Greenberg,William G. Kennedy,Nathan D. Bo Conf

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Cultural Polarization and the Role of Extremist Agents: A Simple Simulation Modelsimulated in a simple computational model. Extremist agents, holding an immutable and extreme belief, are used to examine the process of polarization – adoption of the extremist belief by the entire population. Two possible methods of counteracting polarization are examined, removal of the extremist

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Using Imageability and Topic Chaining to Locate Metaphors in Linguistic Corporaerpretation of individual lexical items. In this article, we describe a novel approach to metaphor identification which is based on three intersecting methods: ., ., and .. Our hypothesis is that metaphors are likely to use highly imageable words that do not generally have a topical or semantic asso

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Feedback Dynamic between Emotional Reinforcement and Healthy Eating: An Application of the Reciprocabehaviors in human beings, but the evidence for the impact of negative and positive emotion on food intake appears to be asymmetric. Negative emotions have been thoroughly studied and there is consensus that they increase food consumption [1]. In addition, there is some evidence that among obese per

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Modeling the Social Response to a Disease Outbreak forms of social disorder. These responses often herald a significant change in the epidemiological pattern or etiology of an infectious disease event. It is therefore increasingly important not only to detect outbreaks of infectious disease early, but also to anticipate and describe the social resp

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Discovering Consumer Health Expressions from Consumer-Contributed Contentd it difficult to understand medical terminologies. If consumers misinterpret the health information they received and rely on it for decision making, this language gap would cause severe consequences. Many efforts have been taken to build Consumer Health Vocabulary (CHV) to bridge the gap and facil

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Patient-Centered Information Extraction for Effective Search on Healthcare Forumer. However, current forums do not support effective information search and thus users are unable to fully leverage the rich information in the forums. In this work, we propose patient-centered information extraction to better organize the information in the forum and have developed a patient-center