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With the increasing use of cyberinfrastructure and popularity of e-Science initiatives, science is becoming truly globalized, reducing barriers to entry and enabling formation of open and global networked innovation communities. In this study, we characterize such networks as complex adaptive communication systems that exhibit traits of self-organized creative artificial ecosystems. A simulation-based exploratory study is conducted to better understand community traits that confer increased diversity and resilience in such global participatory systems. Five types of interaction topologies are identified and simulated using agent simulation as a method of inquiry. Simulation results show that scale-free network has the highest resilience as compared to random and random group network.