@conference {1256,
	title = {Analyzing Leadership Dynamics in Distributed Group Communication},
	booktitle = {2010 43rd Hawaii International Conference on System Sciences (HICSS 2010)},
	year = {2010},
	note = {"Our analysis examines the communication patterns in two FLOSS development projects, Fire and Gaim"
"These data were imported into a database to allow automated analysis. The Fire data set includes about 1,800 events in the user email list, 7,800 messages in the developer venues, and 1,300 events in the combined trackers, spanning a period of 54 months. The significantly larger Gaim data set included over 41,000 events in the user forum, over 30,000 events in the developer venues, and about 20,000 events in the trackers, generated over 78 months."
"The dynamic network analysis was performed using a scientific workflow tool, Taverna Workbench"},
	pages = {1 - 10},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Honolulu, Hawaii, USA},
	abstract = {We apply social network analysis (SNA) to examine the dynamics of leadership in distributed groups, specifically Free/Libre Open Source Software development projects, and its relation to group performance. Based on prior work on leadership in distributed groups, we identify leaders with those who make the highest level of contribution to the group and assess the degree of leadership by measuring centralization of communications. We compare the dynamics of leadership in two FLOSS projects, one more and one less effective. We find that in both projects, centralization was higher in developer-oriented communications venues than in user-oriented venues, suggesting higher degrees of leadership in developer venues. However, we do not find a consistent relation between centralization and effectiveness. We suggest that SNA can instead be useful for identifying interesting periods in the history of the project, e.g., periods where the leadership of the project is in transition.},
	keywords = {core, DYNAMICS, email, email archives, fire, flossmole, gaim, leadership, mailing list, project success, social network analysis, srda},
	isbn = {978-1-4244-5509-6},
	doi = {10.1109/HICSS.2010.62},
	attachments = {https://flosshub.org/sites/flosshub.org/files/07-06-02.pdf},
	author = {Kevin Crowston and Andrea Wiggins and Howison, James}
}
@article {125,
	title = {Membership herding and network stability in the open source community: The Ising perspective},
	journal = {Management Science},
	volume = {53},
	number = {7},
	year = {2007},
	month = {Jul},
	pages = {1086-1101},
	abstract = {The aim of this paper is twofold: (1) to conceptually understand membership dynamics in the open source software (OSS) community, and (2) to explore how different network characteristics (i.e., network size and connectivity) influence the stability of an OSS network. Through the lens of Ising theory, which is widely accepted in physics, we investigate basic patterns of interaction and present fresh conceptual insight into dynamic and reciprocal relations among OSS community members. We also perform computer simulations based on empirical data collected from two actual OSS communities. Key findings include: (1) membership herding is highly present when external influences (e.g., the availability of other OSS projects) are weak, but decreases significantly when external influences increase, (2) propensity for membership herding is most likely to be seen in a large network with random connectivity, and (3) for large networks, when external influences are weak, random connectivity will result in higher network strength than scale-free connectivity (as external influences increase, however, the reverse phenomenon is observed). In addition, scale-free connectivity appears to be less volatile than random connectivity in response to an increase in the strength of external influences. We conclude with several implications that may be of significance to OSS stakeholders in particular, and to a broader range of online communities in general.},
	keywords = {BEHAVIOR, DYNAMICS, ECONOMICS, INNOVATION, INVESTMENT, Ising theory, membership herding, MODEL, MOTIVATION, network connectivity, network stability, open source, PHASE-TRANSITION, UNCERTAINTY},
	isbn = {0025-1909},
	author = {Oh, Wonseok and Jeon, Sangyong}
}
