Title :
On the Impact of Resilience, Inertia, and Information Foraging in Global Participatory Innovation Communities
Author_Institution :
Comput. Sci. & Software Eng., Auburn Univ., Auburn, AL, USA
Abstract :
The adaptive cycle of knowledge creation and co-evolution of knowledge networks are simulated to examine what behavioral mechanisms and rules of interaction confer community structures conducive to innovation. Specifically, we use small-world network and clustering coefficient as a proxy metric to study the impact of domain tolerance, receptivity, inertia, and mobility on stability and innovation potential. Preliminary results suggest that medium and high receptivity communities are able to balance integrated differentiation over their lifetime, while growing inertia lead to tension and spillovers. Also, medium and high levels of reward sensitivity consistently generate cohesive collaboration networks.
Keywords :
public domain software; social networking (online); software engineering; behavioral mechanisms; clustering coefficient; cohesive collaboration networks; domain tolerance; global participatory innovation communities; inertia; information foraging; integrated differentiation; knowledge creation; knowledge networks; mobility; proxy metric; receptivity; small-world network; Adaptation model; Collaboration; Communities; Complexity theory; Computational modeling; Knowledge engineering; Technological innovation; agent simulation; collaboration network; complex adaptive systems; network analysis; open innovation;
Conference_Titel :
Advances in System Simulation (SIMUL), 2010 Second International Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-7783-8
Electronic_ISBN :
978-0-7695-4142-6
DOI :
10.1109/SIMUL.2010.9