Common patterns of online collective attention flow

作     者：Yong LI Xiaofeng MENG Qiang ZHANG Jiang ZHANG Changqing WANG 

作者机构：School of Information Renmin University of China College of Computer Science and Engineering Northwest Normal University School of Systems Science Beijing Normal University DNSLAB China Internet Network Information Center 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2017年第60卷第5期

页      面：258-260页

核心收录：

学科分类：08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 

基　　金：supported by National Natural Science foundation of China (Grant Nos. 71263045, 61662070, 61379050, 91224008, 61532010, 61532016) Research Funds of Renmin University of China (Grant No. 11XNL010) Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20130004130001) 

主　　题：Common patterns of online collective attention flow line view node 

摘      要：Dear editor,During the past two decades,we have witnessed the explosive growth of the World Wide *** understand the common patterns of how this complex artificial software system evolves has been a more and more important and active research area for scientists[1].If we see the Web as a virtual tissue,according to the metabolic theory,the website must absorbenergyto grow,reproduce,and *** are interested in the following questions: