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This special section of "Trends & Controversies" focuses on social media analytics for smart health. The introduction, called "Social Media Analytics for Smart Health," is provided by Ahmed Abbasi and Donald Adjeroh. Then Mark Dredze and Michael J. Paul have written "Natural Language Processing for Health and Social Media." Next, Fatemeh "Mariam" Zahedi, Huimin Zhao, Nitin Walia, Hemant Jain, Patrick Sanvanson, and Reza Shaker discuss "Treating Patients Real Avatars in the Virtual Medical Office." The fourth selection, by Marco D. Huesch, is "Social Media versus Privacy and Credibility," The last piece, written by Donald Adjeroh, Richard Beal, Ahmed Abbasi, Wanhong Zheng, Marie Abate, and Arun Ross, is "Signal Fusion for Social Media Analysis of Adverse Drug Events." [ABSTRACT FROM AUTHOR]

Online marketplaces are among the most prominent and fastest growing markets on the Internet. The leader and main exemplar of this type of market is eBay. This paper provides a comprehensive examination of the salient website elements and strategies as success factors in online marketplaces. The conceptual framework for this examination is based on the marketing mix model and its synthesis with competitive heterogeneity theory, allowing us to formulate a success model for sellers operating in this market. The conceptual model is empirically tested by a random collection of 2231 auction listings from eBay's motor division and tested using a moderated-mediation approach. Our results shed light on the factors that are critical for succeeding in online marketplaces and the significant role of seller types in the impacts of these factors. Implications for theory and practice are discussed and suggestions for future research are suggested. [ABSTRACT FROM PUBLISHER]

Recent natural disasters have highlighted the need for disaster preparedness, planning, and management. Hurricane Katrina demonstrated the usefulness of Web sites in dealing with natural disasters. However, little is known about the necessary contents and structures of Web-based information systems for natural disaster management. In this paper, we focus on developing an ontology structure of elements for Web-based disaster management systems. Web elements are identified, following a grounded-theory approach, from an inventory of 6032 Web pages drawn from 100 disaster management Web sites. Selected semistructured data representation approaches are used to organize the resulting ontology structure, which consists of 2094 Web elements. The ontology structure is further coded into a Web-based system, allowing easy online access. [ABSTRACT FROM PUBLISHER]

This article presents a methodology for component fabrication. Grounded on principles of manufacturing design, component-based software development has been viewed as the future trend in software development. The difficulties of missed schedules, exceeded budgets, and defective products in software development are well documented. Component-based software development presents a novel approach to software development--building an integrated whole from independent parts. It has been viewed as a possible solution for the current software "crisis," and has gained considerable attention in the software industry.