%0 Generic %D 2015 %T Lessons Learned from Applying Social Network Analysis on an Industrial Free/Libre/Open Source Software Ecosystem %A Teixeira, Jose %A Gregorio Robles %A Jesus M. Gonzalez-Barahona %K business models %K cloud computing %K homophily %K open source %K Open-Coopetition %K openstack %K social network analysis %K Software ecosystems %X Many software projects are no longer done in-house by a single organization. Instead, we are in a new age where software is developed by a networked community of individuals and organizations, which base their relations to each other on mutual interest. Paradoxically, recent research suggests that software development can actually be jointly-developed by rival firms. For instance, it is known that the mobile-device makers Apple and Samsung kept collaborating in open source projects while running expensive patent wars in the court. Taking a case study approach, we explore how rival firms collaborate in the open source arena by employing a multi-method approach that combines qualitative analysis of archival data (QA) with mining software repositories (MSR) and Social Network Analysis (SNA). While exploring collaborative processes within the OpenStack ecosystem, our research contributes to Software Engineering research by exploring the role of groups, sub-communities and business models within a high-networked open source ecosystem. Surprising results point out that competition for the same revenue model (i.e., operating conflicting business models) does not necessary affect collaboration within the ecosystem. Moreover, while detecting the different sub-communities of the OpenStack community, we found out that the expected social tendency of developers to work with developers from same firm (i.e., homophony) did not hold within the OpenStack ecosystem. Furthermore, while addressing a novel, complex and unexplored open source case, this research also contributes to the management literature in coopetition strategy and high-tech entrepreneurship with a rich description on how heterogeneous actors within a high-networked ecosystem (involving individuals, startups, established firms and public organizations) joint-develop a complex infrastructure for big-data in the open source arena. %U http://arxiv.org/abs/1507.04587 %0 Conference Paper %B Proceedings of The International Symposium on Open Collaboration %D 2014 %T Understanding Coopetition in the Open-Source Arena: The Cases of WebKit and OpenStack %A Teixeira, Jose %K COLLABORATION %K Competition %K Coopetition %K Ecosystems %K FLOSS %K Open-Coopetition %K open-source %K OSS %K Strategic Alliances %X In an era of software crisis, the move of firms towards distributed software development teams is being challenged by emerging collaboration issues. On this matter, the open-source phenomenon may shed some light, as successful cases on distributed collaboration in the open-source community have been recurrently reported. In our research we explore collaboration networks in the WebKit and OpenStack high-networked open-source projects, by mining their source-code version-control-systems data with Social Network Analysis (SNA). Our approach allows us to observe how key events in the industry affect open-source collaboration networks over time. With our findings, we highlight the explanatory power from network visualizations capturing the collaborative dynamics of high-networked software projects over time. Moreover, we argue that competing companies that sell similar products in the same market, can collaborate in the open-source community while publicly manifesting intense rivalry (e.g. Apple vs Samsung patent-wars). After integrating our findings with the current body of theoretical knowledge in management strategy, economics, strategic alliances and coopetition, we propose the novel notion of open-coopetition, where rival firms collaborate with competitors in the open-source community. We argue that classical coopetition management theories do not fully explain the competitive and collaborative issues that are simultaneously present and interconnected in the WebKit and OpenStack open-source communities. We propose the development of the novel open-coopetition theory for a better understanding on how rival-firms collaborate with competitors by open-source manners. %B Proceedings of The International Symposium on Open Collaboration %S OpenSym '14 %I ACM %C New York, NY, USA %P 39:1–39:5 %@ 978-1-4503-3016-9 %U http://doi.acm.org/10.1145/2641580.2641627 %R 10.1145/2641580.2641627