research-article

Towards understanding: a study of the SourceForge.net community using modeling and simulation

Authors:

Yongqin Gao,

Greg MadeyAuthors Info & Claims

SpringSim '07: Proceedings of the 2007 spring simulation multiconference - Volume 2

Pages 145 - 150

Published: 25 March 2007 Publication History

Get Access

Abstract

The Open Source Software (OSS) development movement is a classic example of a social network; also it is a prototype of a complex evolving network. In this research, we used a iterated method to generate models depicting the evolution of this network. Then, using Java/Swarm, we simulated in our model the evolution of the OSS developer and project network and calibrated the model using the two year empirical data we collected from SourceForge. In simulation, we implemented several different models to replicate the empirical data. From these simulation iterations we were able to verify and validate our model for this network and to increase our understanding of the OSS developer collaboration network. As a result, we generated a "fit" model which can replicate all measures we inspected in the empirical data set.

References

[1]

OSS research (http://www.nd.edu/~oss). 2006.

Google Scholar

[2]

OSS research portal (http://zerlot.cse.nd.edu). 2006.

Google Scholar

[3]

R. Albert and A. L. Barabási. Emergence of scaling in random networks. Science, 286:509--512, 1999.

Google Scholar

[4]

R. Bellman. Adaptive control processes: A guided tour. Princeton University Press, Princeton, NJ, 1961.

Google Scholar

[5]

I. M. Chakravarti, R. G. Laha and J. Roy. Handbook of methods of applied statistics. John Wiley and Sons, I, 1967.

Google Scholar

[6]

P. Erdös and A. Rényi. On random graphs. Publicationes Mathematicae, 6:290--297, 1959.

Google Scholar

[7]

Y. Gao; G. Madey and V. Freeh. Modeling and simulation of the open source software community. ADS'05, San Diego, 2005.

Google Scholar

[8]

Y. Gao, V. Freeh and G. Madey. Analysis and modeling of the open source software community. NAACSOS, Pittsburgh, 2003.

Google Scholar

[9]

Y. Gao, V. Freeh and G. Madey. Conceptual framework for agent-based modeling and simulation. NAACSOS, Pittsburgh, 2003.

Google Scholar

[10]

G. Madey, V. Freeh and R. Tynan. Agent-based modeling of open source using swarm. Eight Americas Conference of Information Systems, 2002.

Google Scholar

[11]

G. Madey, V. Freeh and R. Tynan. The open source software development phenomenon: an analysis based on social network theory. Eight Americas Conference of Information Systems, 2002.

Google Scholar

[12]

M. E. J. Newman and D. J. Watts. Random graph models of social networks. Physics Review, 64(026118), 2001.

Google Scholar

[13]

D. J. Watts and S. H. Strogatz. Collective dynamics of small-world networks. Nature, 393:440--442, 1998.

Crossref

Google Scholar

Cited By

View all

Zhang LLiu YLi J(2012)A mathematical model for human flesh search engineProceedings of the 14th international conference on Web Technologies and Applications10.1007/978-3-642-29426-6_23(187-198)Online publication date: 11-Apr-2012
https://dl.acm.org/doi/10.1007/978-3-642-29426-6_23
Wang BYao YHou BLiao DChen D(2010)Knowledge Aggregation in Human Flesh SearchProceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing10.1109/GreenCom-CPSCom.2010.145(825-830)Online publication date: 18-Dec-2010
https://dl.acm.org/doi/10.1109/GreenCom-CPSCom.2010.145
Wang BHou BYao YYan L(2009)Human Flesh Search Model Incorporating Network Expansion and GOSSIP with FeedbackProceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications10.1109/DS-RT.2009.36(82-88)Online publication date: 25-Oct-2009
https://dl.acm.org/doi/10.1109/DS-RT.2009.36

Recommendations

A Topology Model of Complex Network Based on Local-world Theory
IMCCC '11: Proceedings of the 2011 First International Conference on Instrumentation, Measurement, Computer, Communication and Control

Based on the improvement of the BA model in which the local world theory is imported, a novel model of complex network topology structure is proposed. Many known models can be founded in the presented model. Firstly, the generation arithmetic of ...
A growing network model with high hub connectivity and tunable clustering coefficient

The paper investigates a model for social network based on a growing network. The model we propose can fit the following two basic properties: (1) 'scale-free property' which has power law degree distribution, and (2) 'small-world property' which has ...
The Research of Supply Chain Modeling Based on the Improved Complex Network Theory
AICI '09: Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence - Volume 02

In this paper, we analyze the characteristics of supply chain network based on the traditional complex network local-world evolving model. Through the study of the characteristics of supply chain network, found that the node uniform arrival process in ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

SpringSim '07: Proceedings of the 2007 spring simulation multiconference - Volume 2

March 2007

405 pages

ISBN:1565553136

General Chair:
Maurice J. Ades

Publisher

Society for Computer Simulation International

San Diego, CA, United States

Publication History

Published: 25 March 2007

Check for updates

Author Tags

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
60
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 10 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Zhang LLiu YLi J(2012)A mathematical model for human flesh search engineProceedings of the 14th international conference on Web Technologies and Applications10.1007/978-3-642-29426-6_23(187-198)Online publication date: 11-Apr-2012
https://dl.acm.org/doi/10.1007/978-3-642-29426-6_23
Wang BYao YHou BLiao DChen D(2010)Knowledge Aggregation in Human Flesh SearchProceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing10.1109/GreenCom-CPSCom.2010.145(825-830)Online publication date: 18-Dec-2010
https://dl.acm.org/doi/10.1109/GreenCom-CPSCom.2010.145
Wang BHou BYao YYan L(2009)Human Flesh Search Model Incorporating Network Expansion and GOSSIP with FeedbackProceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications10.1109/DS-RT.2009.36(82-88)Online publication date: 25-Oct-2009
https://dl.acm.org/doi/10.1109/DS-RT.2009.36

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Recommendations

A Topology Model of Complex Network Based on Local-world Theory

A growing network model with high hub connectivity and tunable clustering coefficient

The Research of Supply Chain Modeling Based on the Improved Complex Network Theory