Common patterns of online collective attention flow  

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

机构地区：[1]School of Information, Renmin University of China [2]College of Computer Science and Engineering, Northwest Normal University [3]School of Systems Science, Beijing Normal University [4]DNSLAB, China Internet Network Information Center

出　　处：《Science China(Information Sciences)》2017年第5期254-256,共3页中国科学（信息科学）（英文版）

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)

摘　　要：During the past two decades,we have witnessed the explosive growth of the World Wide Web.To 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.If we see the Web as a virtual tissue,according to the metabolic theory,the website must absorb＂energy＂to grow,reproduce,and develop.We are interested in the following questions：（1） Where does the ＂energy＂ come from？ （2） What are the common patterns of this energy flow？During the past two decades,we have witnessed the explosive growth of the World Wide Web.To 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.If we see the Web as a virtual tissue,according to the metabolic theory,the website must absorb＂energy＂to grow,reproduce,and develop.We are interested in the following questions：（1） Where does the ＂energy＂ come from？ （2） What are the common patterns of this energy flow？

关 键 词：Common patterns of online collective attention flow line view node 

分 类 号：TP393.092[自动化与计算机技术—计算机应用技术]