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SNSMW 2011 : 2nd Int'l Workshop on Social Networks and Social Media Mining on the Web (SNSMW) | |||||||||||||||
Link: http://www.se.cuhk.edu.hk/~snsmw/ | |||||||||||||||
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Call For Papers | |||||||||||||||
Today the emergence of web-based communities and hosted services such as social networking sites, wikis and folksonomies, brings in tremendous freedom of Web autonomy and facilitate collaboration and knowledge sharing between users. Along with the interaction between users and computers, social media are rapidly becoming an important part of our digital experience, ranging from digital textual information to diverse multimedia forms. These aspects and characteristics constitute of the core of second generation of Web.
A prominent challenge lies in modeling and mining this vast pool of data to extract, represent and exploit meaningful knowledge and to leverage structures and dynamics of emerging social networks residing in the social media. Social networks and social media mining combines data mining with social computing as a promising direction and offers unique opportunities for developing novel algorithms and tools ranging from text and content mining to link mining. The 2nd International Workshop on Social Networks and Social Media Mining on the Web in conjunction with DASFAA 2011 will bring together the academia, researchers and industrial practitioners from computer science, information systems, statistics, sociology, behavior science and organization science discipline, and provide a forum for recent advances in the field of social networks and social media, from the perspectives of data management and mining. We solicit original and high quality submissions addressing all aspects of this field. The topics of interest include, but are not limited to the following: *Computational models for social media *Search in Social Networks and Social Media *Blog Search and Retrieval, Social Aspects of Blogosphere *Sentiment Analysis; Polarity/Opinion Identification and Extraction *Techniques for Social Network Analysis and for the Analysis of Social-Media Phenomena *Link Analysis and Network Structure Discovery, Community Detection and Evolution *Group interaction, Collaboration, and Recommendation *Data Mining, Machine Learning, Information Retrieval, Artificial Intelligence in Social Contexts *Human Interface and Interaction techniques for Social Media, Social Media tools; Navigation and Visualization *Influence, Trust, and Privacy *Social Behavior Modeling, Social Intelligence, Social Cognition *Trend Identification and Tracking; Time Series Forecasting; Measuring Predictability of *Phenomena based on Social Media *New social media applications; interfaces; interaction techniques ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Workshop organizers: Workshop Co-Chairs: Guandong Xu, Aalborg University, Denmark Lin Li, Wuhan University of Technology, China Hong Cheng, Chinese University of Hong Kong, China Botao Wang, Northeastern University, China Program Committee (in alphabetical order of last name): James Bailey, University of Melbourne, Australia Hong Cheng, Chinese University of Hong Kong, China Peter Dolog, Aalborg University Irene Ggarrigos, University of Alicante, Spain Yanan Hao, Victoria University, Australia Yoshinori Hijikata, Osaka University, Japan Hideyuki Kawashima, Tsukuba University, Japan Lin Li, Wuhan University of Technology, China Yuefeng Li, Queensland University of Technology, Australia Wenxin Liang, Dalian University of Technology, China Wenyu Qu, Dalian Maritime Univeristy,China Munehiko Sasajima, Osaka University, Japan Xiaohui Tao, Queensland University of Technology, Australia Kenji Tateishi, NEC Corporation, Japan Athina Vakali, Aristotle University, Greece Botao Wang, Northeastern University, China Daling Wang, Northeastern University, China Yitong WANG, Fudan University, China Zongda Wu, Wenzhou University, China Guandong Xu, Aalborg University, Denmark Zhenglu Yang, University of Tokyo, Japan Jianwei Zhang, Kyoto Sangyo University, Japan Yu Zong, West Anhui University, China ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Submission Instruction: Authors are invited to submit electronically original, English-language research contributions not concurrently submitted elsewhere. All accepted papers will be published in a combined volume of Lecture Notes in Computer Science (LNCS) series published by Springer in the form of conference post-proceedings. At the workshop site, informal on-site proceedings will be handed out as well. All submitted papers should be Springer LNCS camera-ready format. The style files are available from Springer LNCS site: http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0 All submissions files should be in PDF formats. We employ the single blind review system (in which the authors don't know the reviewers, but the reviewers know the authors). The number of pages should not exceed 12 pages. Any papers more than 10 pages will be rejected. Submission Website: Please submit all manuscripts (research/industrial/demo papers) in PDF formats to the submission site: https://cmt.research.microsoft.com/SNSMW2011/ Important Dates : Paper submission December 15, 2010, 5PM (Pacific Time) Notification January 15, 2011, 5PM (Pacific Time) Camera Ready January 22, 2011, 5PM (Pacific Time) |
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