Empirical Study of Avalanche Dynamics on Open Source Community: the case of Sourceforge.net
PAN Xiangdong1,2,3, YANG Jianmei2, BAI Hua2
1. Postdoctoral Programme of China Industrial Economic Security Research Center of Beijing Jiaotong University, Beijing 100044, China; 2. School of Business Administration of South China Universityof Technology, Guangzhou 510641, China; 3. Hebi Development and Reform Commission, Hebi 45030, China
Abstract：To verify avalanche dynamics of open source community, the paper offers an empirical study on SourceForge.net, which is the largest open source community in the world. It researches risk transfer between projects and the cascading phenomenon, finds there are two kinds of mechanisms, through which to transfer risk and trigger an avalanche, they include technical co-relation and cooperative co-relation. We measure the distribution of the avalanche size on the Sourceforge.net. The results show that the avalanche sizes follow power law distributions and the maximum size is only 18. However, based on the analysis of the dynamic evolution results of the cross section data, we find that the maximum massive avalanche size continues to get bigger, which means that Sourceforge.net is evolving into the growth stage.
潘向东, 杨建梅, 白桦. 开源社区雪崩效应实证研究:以Sourceforge为例[J]. 复杂系统与复杂性科学, 2015, 12(4): 61-70.
PAN Xiangdong, YANG Jianmei, BAI Hua. Empirical Study of Avalanche Dynamics on Open Source Community: the case of Sourceforge.net[J]. Complex Systems and Complexity Science, 2015, 12(4): 61-70.
[1] Michlmayr M. Quality Improvement in volunteer free and open source software projects: exploring the impact of release management[D]. Cambridge: University of Cambridge, 2007 [2] Carreras B A, Newman D E, Dobson I, et al. Initial evidence for self-organized criticality in electric power system blackouts[C]//Proceedings of the 33rd Annual Hawaii International Conference on System Sciences IEEE. Hawaii, 2000: 6. [3] Sachtjen M L, Carreras B A, Lynch V E. Disturbances in a power transmission system[J]. Phys Rev E, 2000,61(5):4877. [4] Motter A E, Lai Y C. Cascade-based attacks on complex networks[J]. Phys Rev E, 2002, 66(6): 065102(R). [5] Crucitti P, Latora V, Marchiori M. Model for cascading failures in complex networks[J]. Phys Rev E, 2004, 69(4): 045104 (R). [6] Kinney R, Crucitti P, Albert R, et al. Modeling cascading failures in the north american power grid[J]. The European Physical Journal B-Condensed Matter and Complex Systems, 2005, 46(1): 101-107. [7] Carreras B A, Lynch V E, Dobson I, et al. Critical points and transitions in an electric power transmission model for cascading failure blackouts[J]. Chaos, 2002, 12(4): 985-994. [8] Bak P,Tang C,Wiesenfeld K. Self-organized criticality[J]. Phys Rev A, 1988, 38(1):364:374. [9] Bak P,Chen K,Tang C. A forest-fire model and some thoughts on turbulence[J]. Physics Letters A,1990,147(5-6):297-300. [10] Olami Z,Feder H J S,Christensen K. Self-organized criticality in a continuous, nonconservative cellular automaton modeling earthquakes[J]. Physical Review Letters,1992,68(8):1244-1247. [11] Bak P,Sneppen K. Punctuated equilibrium and criticality in a simple model of evolution[J]. Physical Review Letters,71(24): 4083-4086. [12] Bak P, Chen K, Scheinkman J A, et al. Aggregate fluctuations from independent sectoral shocks: self-organized criticality in a model of production and inventory dynamics[J]. Ricerche Economiche,1993,47(1):3-30. [13] Jensen C, Scacchi W. Process modeling across the web information infrastructure[J]. Software Process-Improvement and Practice, 2005, 10(3):255-272. [14] Scacchi W. Free/open source software development: recent research results and methods[J]. Advances in Computers, 2007, 69: 243-295. [15] Katsamakas E, Georgantzas N C. Open source software development: a systems dynamics model[DB/OL].[2014-01-02].http://www.systerndynamics.org/conferences/2007/proceed/proceed/papers/KATSA472.pdf. [16] Pan X D, Feng J Y, Yang J M. Research on the evolution of corporate culture based on naming game[C]//2008 ISECS International Colloquium on Computing, Communication, Control, and Management. Guangzhou, 2008, 1: 659-663. [17] 潘向东,杨建梅. Naming Game 模型的研究进展及应用[J]. 复杂系统与复杂性科学,2009,6(2):87-92. Pan Xiangdong,Yang Jianmei. A survey of the development and application of naming game model[J]. Complex Systems and Complexity Science, 2009, 6(2):87-92. [18] Xu J,Christley S,Madey G. The open source software community structure[DB/OL].[2014-01-02].http://researchgate.net/publication/237940105_The_Open_Source_Software_Community_Structure. [19] González-Barahona J M, López L, Robles G. Community structure of modules in the apache project[C]//Proceedings of the 4th Workshop on Open Source Software Engineering. 26th International Conference on Software Engineering. Edinburgh, Scotland, UK, 2004. [20] Held G A,Solina D H,Solina H, et al. Experimental study of critical-mass fluctuations in an evolving sandpile[J].Physical Review Letters, 1990, 65(9):1120-1123. [21] Jensen H J. Self-Organized Criticality: Emergent Complex Behavior in Physical and Biological Systems[M]. Cambridge: Cambridge University Press, 1998. [22] Lattemann C, Stieglitz S. Framework for governance in open source communities[C]//Proceedings of the 38th Annual Hawaii International Conference on System Sciences. IEEE, Hawaii, 2005: 192a. [23] Malamud B D,Morein G,Turcotte D L. Forest fires: an example of self-organized critical behavior[J]. Science, 1998, 281(5384):1840-1842.
