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IEEE Intelligent Systems

Call for Papers: Special issue on Social Media Analytics and Intelligence

Social media refers to a conversational, distributed mode of content generation, dissemination, and communication among communities. Recent years have witnessed tremendous growth of social media through platforms and applications enabled by the Web and mobile technologies (for example, weblogs, microblogs, online forums, wiki, podcasts, lifestreams, social bookmarks, Web communities, social networking, and avartar-based virtual reality). Social media is a tremendous asset for understanding various social phenomena and has found applications in a wide spectrum of problem domains, including business computing, entertainment, politics and public policy, and homeland security. From an information technology standpoint, social media research has been primarily focused on social media analytics and more recently social media intelligence. Social media analytics is concerned with developing and evaluating informatics tools and frameworks to collect, monitor, analyze, summarize, and visualize social media data, usually driven by specific requirements from a target application. Social media intelligence aims to derive actionable information from social media in context-rich application settings, develop corresponding decision-making or decision-aiding frameworks, and provide solution frameworks for existing and new applications that can benefit from the “wisdom of crowds” through the Web.

This special issue seeks innovative contributions to social media analytics and intelligence research. The contributions should show relevance (from an either methodological or domain perspective) to at least one sub-field of AI. Multidisciplinary research with substantive findings in real-world, context-rich settings is strongly encouraged. This special issue hopes to publish a collection of representative research pieces to provide an integrated and synthesized view of the current state of the art, identify challenges and opportunities for future work, and in general promote cross-cutting community-building. Topics include but are not limited to:

• Social media content spidering, crawling, indexing, and archiving
• Social media content (entity, fact, trends) identification, extraction, and summarization; social media discourse analysis
• Cyber archeology and anthropology
• Web sentiment and affect tracking and analysis from social media
• Social information processing; mining from both data and metadata on social media
• Web community social network analysis and influence modeling
• Dynamic analysis of evolution of social media and information ecosystems; incentives to participation
• Studying social media as a form of social production and investigating related economics and societal issues
• Social media-based business intelligence, social media marketing, online brand management
• Cyber terrorism, extremism, and activism study
• Public health and consumer health web surveillance
• Online reputation and social media optimization
• Collective intelligence-based problem solving using social media as a platform
• Social media platform and services design, development, and adoption

Submission Guidelines

Submissions due for review: May 7, 2010

Submissions should be 3,500 to 7,500 words (counting a standard figure or table as 200 words) and should follow the magazine’s style and presentation guidelines (see ). References should be limited to 10 citations. To submit a manuscript, access the IEEE Computer Society Web-based system, Manuscript Central, at .

Guest Editors

Hsinchun Chen, University of Arizona
Daniel Zeng, University of Arizona & Chinese Academy of Sciences
Robert Lusch, University of Arizona
Shu-Hsing Li, National Taiwan University

Questions?

Contact the Guest Editors at zeng (at) email.arizona.edu.

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