Collaborative Production Structure of Knowledge Sharing Behavior in Internet Communities

被引:26
作者
Wang, Jiangtao [1 ]
Yang, Jian-mei [2 ]
Chen, Quan [1 ]
Tsai, Sang-Bing [1 ,3 ,4 ,5 ,6 ]
机构
[1] Univ Elect Sci & Technol China, Zhongshan Inst, Guangzhou 528402, Guangdong, Peoples R China
[2] S China Univ Technol, Guangzhou 510640, Guangdong, Peoples R China
[3] Dongguan Univ Technol, Coll Business Adm, Dongguan 523808, Guangdong, Peoples R China
[4] Nankai Univ, Sch Law, Tianjin 300071, Peoples R China
[5] Dalian Univ Technol, Sch Business, Panjin 124221, Peoples R China
[6] China Europe Int Business Sch, Shanghai 201206, Peoples R China
关键词
WIKIPEDIA; NETWORKS;
D O I
10.1155/2016/8269474
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Peer production has received considerable attention because it is a new mode of providing information. Online encyclopedias are one typical application of peer production. They allow anyone to freely create and share knowledge. Large numbers of volunteers participate and form various relationships in the process of creating and sharing knowledge. A heterogeneous network model is presented to analyze the collaborative relationship of sharing behavior, and a new network measurement is presented to investigate the network structure by mapping it into a quantum system. The results of the present work show that volunteers in online communities are heterogeneous and that the collective states induced by these collaborative production network structures are different at different times. Some collective states are ordered states while others are softly chaotic. Analysis of these collective states may provide completely different insight from the individual dynamic state of contributors in a network.
引用
收藏
页数:9
相关论文
共 36 条
[1]  
Ashcroft N W., 2003, Solid State Physics
[2]   Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological forces, and organizational climate [J].
Bock, GW ;
Zmud, RW ;
Kim, YG ;
Lee, JN .
MIS QUARTERLY, 2005, 29 (01) :87-111
[3]  
Brandes U., 2009, P 18 INT C WORLD WID
[4]  
Brouwer AE, 2012, UNIVERSITEXT, P1, DOI 10.1007/978-1-4614-1939-6
[5]   Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories [J].
Chiu, Chao-Min ;
Hsu, Meng-Hsiang ;
Wang, Eric T. G. .
DECISION SUPPORT SYSTEMS, 2006, 42 (03) :1872-1888
[6]  
Coleman J., 2008, Foundations of social theory
[7]   Characterization of complex networks: A survey of measurements [J].
Costa, L. Da F. ;
Rodrigues, F. A. ;
Travieso, G. ;
Boas, P. R. Villas .
ADVANCES IN PHYSICS, 2007, 56 (01) :167-242
[8]   Modularity and extreme edges of the Internet [J].
Eriksen, KA ;
Simonsen, I ;
Maslov, S ;
Sneppen, K .
PHYSICAL REVIEW LETTERS, 2003, 90 (14) :4
[9]  
Eyring H., 1944, QUANTUM CHEM, V64
[10]   Spectra of "real-world" graphs:: Beyond the semicircle law -: art. no. 026704 [J].
Farkas, IJ ;
Derényi, I ;
Barabási, AL ;
Vicsek, T .
PHYSICAL REVIEW E, 2001, 64 (02) :12-267041