A dynamic analysis by examining Sourceforge data over time
Professor Chaim Fershtman, Tel Aviv University
Professor Neil Gandal, Tel Aviv University
Dr. Gal Oestreicher-Singer, Tel Aviv University
Dr. Uriel Stettner, Tel Aviv University
In a previous paper - Fershtman, Chaim, and Niel Gandal, Direct and Indirect Knowledge Spillovers: The 'Social Network' of Open Source Projects, 2011, Rand Journal of Economics - we collected data (from 2006) from Sourceforge and used these data to empirically measure knowledge spillovers among projects hosted at Sourceforge.net.
Our paper distinguished between project spillovers and contributors' spillover and between direct and indirect spillovers. The paper constructs a unique data set of open source software projects. The data identifies the contributors that work in each projects and this enable us to construct a two-mode network: a Project network and a Contributor network. The paper demonstrates that the structure of these networks is associated with project success and that there is a positive association between project closeness centrality and project success. This suggests the existence of both direct and indirect project knowledge spillovers. In this new project, we would like to follow-up on our original paper and conduct a dynamic analysis by examining Sourceforge data over time.