Social Media Analytics and Intelligence
Publication: November/December 2010
Submissions due for review: 7 May 2010
Social media have grown tremendously: we now have weblogs, microblogs, online forums, wiki, podcasts, lifestreams, social bookmarks, Web communities, social networking, and avartar-based virtual reality. The term social media (SM) refers to a conversational, distributed mode of content generation, dissemination, and communication among communities. It is a tremendous asset for understanding social phenomena and has found applications in a wide spectrum of problem domains, including business computing, entertainment, politics and public policy, and homeland security. Research in this area has focused on social media analytics and more recently social media intelligence. SM analytics deals with developing and evaluating informatics tools and frameworks to collect, monitor, analyze, summarize, and visualize data, usually driven by specific requirements from a target application. SM intelligence aims to derive actionable information from SM in context-rich application settings, develop corresponding decision-making or -aiding frameworks, and provide solution frameworks for applications that can benefit from the "wisdom of crowds" through the Web.
This special issue seeks innovative contributions to SM analytics and intelligence research. Contributions must show relevance (from an either methodological or domain perspective) to at least one AI subfield; we strongly encourage multidisciplinary research with substantive findings in real-world, context-rich settings. The issue will provide an integrated, synthesized view of the current state of the art, identify challenges and opportunities for future work, and promote cross-cutting community-building. Possible topics include the following:
- SM content spidering, crawling, indexing, and archiving
- SM content (entity, fact, trends) identification, extraction, and summarization and SM discourse analysis
- Cyber archeology and anthropology
- Web sentiment and affect tracking and analysis
- Social information processing; mining from both data and metadata
- Web community social network analysis and influence modeling
- Dynamic analysis of SM evolution and information ecosystems; incentives to participation
- Studying SM as a form of social production and investigating related economics and societal issues
- SM-based business intelligence, SM marketing, online brand management
- Cyber terrorism, extremism, and activism study
- Public health and consumer health Web surveillance
- Online reputation and SM optimization
- Collective intelligence-based problem solving using SM as a platform
- SM platform and services design, development, and adoption
Submission Guidelines
Submissions should be 3,000 to 7,500 words (counting a standard figure or table as 200 words) and should follow IEEE Intelligent Systems style and presentation guidelines (for details, see computer.org/intelligent/author.htm). The full call for papers is available at computer.org/intelligent/cfp6. Submit all manuscripts online at https://mc.manuscriptcentral.com/is-cs.
Questions?
For information, contact the Guest Editors:
- Daniel Zeng, University of Arizona & Chinese Academy of Sciences
- Hsinchun Chen, University of Arizona
- Robert Lusch, University of Arizona
- Shu-Hsing Li, National Taiwan University