Journal of Computer Science and Technology
Special Issue on Data Mining on Social Networks and Social Web
Guest editor: Qiang Yang, Jie Tang, and Lei Zhang Submission Deadline: September 1st, 2011
Overview
Recently, there has been a dramatic increase in research activity in data mining on social networks and social media. The ubiquitous nature of Web-enabled devices, including desktops, laptops, tablets, and mobile phones, enables users to participate and interact with each other in various Web communities. Examples of such communities include forums, newsgroups, blogs, microblogs, bookmarking services, photo sharing platforms, and location-based services. The rapidly evolving social Web provides a platform for communication, information sharing, and collaboration. A vast amount of heterogeneous data (composed of e.g., text, photos, video, links) has been generated by the users of various social communities, which offers an unprecedented opportunity for studying novel theories and technologies for social Web search and mining.
The goal of the special issue is to provide a forum for presenting the most recent advances in data mining on social media topics related to Web search and information retrieval, Web mining, social network analysis, semantic Web, natural language processing, and computational advertising. We are particularly interested in articles that address how to handle crisis and disaster situations through the help of social Web and mining.
Tentative Schedule
Guest Editors
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