The Chinese ‘‘HumanFlesh’’ Web:the first decade and beyond  

作　　者：Fei-Yue Wang Daniel Zeng Qingpeng Zhang James A. Hendler Jianping Cao 

机构地区：[1]The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences [2]Department of Management Information Systems, The University of Arizona Tucson [3]Department of Systems Engineering and Engineering Management, City University of Hong Kong [4]Tetherless World Constellation, Department of Computer Science, Rensselaer Polytechnic Institute Troy [5]The Research Center for Computational Experiments and Parallel Systems, National University of Defense Technology

出　　处：《Chinese Science Bulletin》2014年第26期3352-3361,共10页

基　　金：supported in part by the National Natural Science Foundation of China (90924302, 91024030, 71025001, 70890084, and 60921061);the US Defense Advanced Research Projects through two seedling grants to Rensselaer Polytechnic Institute;the US National Science Foundation support for EAGER (IIS-1143585)

摘　　要：Human flesh search(HFS), a Web-enabled crowdsourcing phenomenon, originated in China a decade ago. In this article, we present the first comprehensive empirical analysis of HFS, focusing on the scope of HFS activities, the patterns of HFS crowd collaboration process, and the characteristics of HFS participant networks. A survey of HFS participants was conducted to provide an in-depth understanding of the HFS community and various factors that motivate these participants to contribute. This article also advocates a new stream of Web science and social computing research that will be important in predicting the future growth and use of the World Wide Web.Human flesh search （HFS）, a Web-enabled crowd- sourcing phenomenon, originated in China a decade ago. In this article, we present the first comprehensive empirical analysis of HFS, focusing on the scope of HFS activities, the patterns of HFS crowd collaboration process, and the characteristics of HFS participant networks. A survey of HFS participants was conducted to provide an in-depth understanding of the HFS com- munity and various factors that motivate these participants to contribute. This article also advocates a new stream of Web science and social computing research that will be important in predicting the future growth and use of the World Wide Web.

关 键 词：中国人 网址 肉 WEB功能 实证分析 参与者 共同体 万维网 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]