摘要
信息技术的飞速发展,特别是物联网、云计算、社交网络、社会媒体以及信息获取技术的进步,数据正以巨大的速度迅速增长和积累,大数据时代已经到来.社会计算作为一种数据密集型科学,在收集和分析数据的广度、深度以及规模上都产生了巨大的影响,社会计算作为一种新的计算范式,产生了一个新的跨学科研究与应用领域,其广阔的研究内容与应用已引起了学术界和工业界的广泛关注.分析了社会计算产生的历史背景及概念、研究现状及大数据带来的机遇,综述了社会计算不同的研究领域,主要有2个发展趋势:一个面向社会科学,包括计算社会科学、计算社会学、社会网络分析等;一个面向技术应用,包括社交应用、娱乐应用、生产应用等,这2种发展趋势同时又相互影响.最后讨论了社会计算研究领域存在的挑战,包括跨学科合作与训练的问题、科学研究中大数据共享问题以及隐私保护.
With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks and social media, the era of big data is coming. As a data-intensive science, social computing is an emerging thing that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary research and application field. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. In this paper, we give a brief survey of the various research fields in social computing. We present key concepts and analyze state-of-the art of the field. The article not only sheds insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends. One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; The other is on the use of computational techniques, such as social use, hedonic use and generative use. Finally some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.
出处
《计算机研究与发展》
EI
CSCD
北大核心
2013年第12期2483-2491,共9页
Journal of Computer Research and Development
基金
国家自然科学基金项目(61379050,91024032,91224008,91124001,91324015)
国家“八六三”高技术研究发展计划基金项目(2012AA011001,2013AA013204)
中国人民大学科学研究基金项目(11XNL010)
2012年甘肃省高校基本科研业务费专项资金项目
关键词
社会科学
社会计算
社会网络分析
计算社会科学
大数据
social science
social computing
social networks analysis
computational social science
big data
作者简介
Meng Xiaofeng, born in 1964. Professor and PhD supervisor at Renmin University of China. Executive member of China Computer Federation. His main research interests include cloud data management,Web data management, flash-based databases, privacy protection, etc.（xfmeng@rue．edu．cn）
通信作者：李勇（facingworld@126．com）Li Yong, born in 1979. PhD candidate at Renmin University of China. Student member of China Computer Federation. He is lecturer in Northwest Normal University. His main research interests include social computing, big data, etc.
Jonathan J. H. Zhu. Professor in the Department of Media and Communication at the City University of Hong Kong. His current research interests include structure, content, use, and impact the of social media and e-social science@ zhu@cityu, edu. hk）
