|
|
|
| Evolution of Communication Network for Knowledge Creation of the Open Source Software Community |
| ZENG Jin-qun, YANG Jian-mei, CHEN quan
|
| School of Business Administration, South China University of Technology, Guangzhou 510640, China |
|
|
|
|
Abstract The evolution of communication network in the knowledge creation community is studied by join using of the complex network method and null model based on the communication relationships in the codeplex C# small community,which is an open source community. The results show that, the degree distribution of communication network at different stage is a stretched exponential distribution, while the weight of network is a power law distribution. Especially, the characteristic of small world and community structure in these networks are significant, but not in weighted networks. The phenomenon of rich club also exists in these sequence networks. Although the network scale has a gradual increase in stable stage, there is no clear hierarchical cha-racteristic. Hence, it is a typical disassortative network. Therefore, heterogeneity and small word characters appear in this process of knowledge sharing, knowledge flow and the interaction among general users.
|
|
Received: 13 May 2013
Published: 22 June 2026
|
|
|
|
[1] Mockus A, Fielding R, Herbsleb J. Two gase studies of open source software development:apache and mozilla[J]. ACM Transactions on Software Engineering and Methodology, 2002, 11（3):309-346.
[2] Netcraft.August 2012 web survey[EB/OL].（2012-08-02)[2013-01-04].http://news.netcraft.com/archives/2012/08/02/August_2012_web_survey.html.
[3] Wang J. The role of social networks in the success of open-source software systems:a theoretical framework and an empirical investigation[D]. Ohio:Kent State University, 2007.
[4] Wang J, Michael Y, Murali S. Human, social networks, and FOSS project success[J]. Journal of Business Research, 2011, 65（7):977-984.
[5] 潘向东. 开源社区稳定性研究[D]. 广州:华南理工大学,2009.
Pan Xiangdong. The open source community stability studies[D]. Guangzhou:South China University of Technology, 2009.
[6] 姚灿中. 产业复杂网络的建模、仿真与分析[D]. 广州:华南理工大学,2010.
Yao Canzhong. The industrial complex networks’ modeling, simulation and analysis[D].Guangzhou:South China University of Technology, 2010.
[7] Fu F, Chen X, Liu L, et al. Social dilemmas in an online social network:the structure and evolution of cooperation[J]. Physics Letters A, 2007, 371（1):58-64.
[8] Hu H B, Wang X F. Evolution of a large online social network[J]. Physics Letters A, 2009, 373（2):1105-1110.
[9] Ahn Y Y, Han S, Kwak H, et al. Analysis of topological characteristics of huge online social networking services[C]// Proceedings of the 16th international conference on World Wide Web. New York:ACM Press, 2007:835-844.
[10] 司夏萌,刘云.虚拟社区中人际交互行为的统计分析研究[J].物理学报,2011,60（7):078903.
Si Xiameng, Liu Yun. Empirical analysis of interpersonal interacting behavior in virtual community[J]. Acta Pysi Sin, 2011,60（7):078903.
[11] 林敏,李南,吴贵生.研发团队知识交流网络的实证研究[J].科研管理,2012,33（9):63-70.
Lin Min, Li Nan,Wu Guisheng. The structure of knowledge exchange network in R＆D teams[J]. Science Research Management,2012, 33（9):63-70.
[12] 姚尊强,尚可可,许小可.加权网络的常用统计量[J].上海理工大学学报, 2012, 34（1):18-26.
Yao Zunqiang, Shang Keke, Xu Xiaoke. Fundmental statistics of weighted neteorks[J]. Journal of University of Shanghai for Science and Technology, 2012, 34（1):18-26.
[13] Leskovec J, Kleinberg J, Faloutsos C. Graph evolution:densification and shrinking diameters[J]. ACM Transactions on Knowledge Discovery from Data, 2007, 1（1):1-40.
[14] Watts D. Networks, dynamics, and the small world phenomenon[J]. American Journal of Sociology, 1999,105:493-527.
[15] Freeman L C. Centrality in social networks:conceptual clarification[J]. Social Networks, 1979, 1:215-239.
[16] Gohk I, Kahng B, Kim D. Universal behavior of load distribution in scale-free networks[J]. Physical Review Letters, 2001, 87（27):278701.
[17] Newman M, Assortative mixing in networks[J]. Physical Review Letters, 2002, 89（20):208701.
[18] Newman M, Park J. Why social networks are different from other types of networks[J]. Phys Rev E, 2003, 68（3):036122.
[19] 胡海波.在线社会网络的结构、演化及动力学研究[D].上海:上海交通大学, 2010.
Hu Haibo. Research on the structure, evolution and dynamics of online social networks[D]. Shanghai:Shanghai Jiaotong University,2010.
[20] Opsahl T, Colizza V, Panzarasa P. Prominence and control:the weighted rich-club effect[J]. Physical Review Letters, 2008,101（6):168702.
[21] 李晓佳,张鹏,狄增如,等.复杂网络中的社团结构[J],复杂系统与复杂性科学,2008,5（2):19-42.
Li Xiaojia, Zhangpeng, Di Zengru, et al. Community structure in complex networks[J]. Complex Systems and Complexity Science, 2008, 5 （3):19-42.
[22] Argote L,Mcevily B,Reagans R.Managing knowledge in organizations:an integrative framework and review of emerging themes[J].Management Science, 2003, 49（4):571-582.
[23] DeSanctis G, Monge P. Introduction to the special issue :communication processes for virtual organizaitons[J]. Organizational Science, 1999, 10（6):693-703. |
|
|
|
