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Titlebook: Advances in Social Computing; Third International Sun-Ki Chai,John J. Salerno,Patricia L. Mabry Conference proceedings 2010 Springer-Verla

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期刊全称Advances in Social Computing
期刊简称Third International
影响因子2023Sun-Ki Chai,John J. Salerno,Patricia L. Mabry
视频video
发行地址Fast-track conference proceedings.State-of-the-art research.Unique visibility
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advances in Social Computing; Third International  Sun-Ki Chai,John J. Salerno,Patricia L. Mabry Conference proceedings 2010 Springer-Verla
影响因子Social computing is concerned with the study of social behavior and social context based on computational systems. Behavioral modeling provides a representation of the social behavior, and allows for experimenting, scenario planning, and deep und- standing of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies by humans in everyday life provides an unprecedented en- ronment of various social activities that, due to the platforms under which they take place, generate large amounts of stored data as a by-product, often in systematically organized form. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, and prediction. Numerous interdisciplinary and interdepe- ent systems are created and used to represent the various social and physical systems for investigating the interactions between groups, communities, or nation-states. This requires joint efforts to take advantage of the state-of-the-art research from multiple disciplines improving social computing and behavioral modeling in order to document lessons learned and develop novel theories, experiments, and methodologies to better explain the i
Pindex Conference proceedings 2010
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https://doi.org/10.1007/978-3-642-05241-5ext year, and whom they are likely to infect. We examine how different behaviors are related to the increase or decrease of HIV risks and how to estimate the quantifiable risk measures such as survival HIV free.
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Predictability and Prediction for an Experimental Cultural Market,gh this analysis to develop algorithms for predicting market share winners, and their ultimate market shares, in the very early stages of the market. The utility of these predictive algorithms is illustrated through analysis of the experimental music market data sets [2].
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Cultural Consensus Theory: Aggregating Continuous Responses in a Finite Interval,ed to an existing cross-cultural dataset involving native Japanese and English speakers judging the similarity of emotion terms. The results sharpened earlier studies that showed that both cultures appear to have very similar cognitive representations of emotion terms.
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Multiscale Comparison of Three-Dimensional Trajectories Based on the Curvature Maxima and Its Applie can be applied for three-dimensional trajectories whose curvature is by nature sign-less. We demonstrate on the synthetic data and medical data that our method could successfully capture the structural similarity of three-dimensional trajectories.
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