Journal of the American Society for Information Science
Hidden order: how adaptation builds complexity
Hidden order: how adaptation builds complexity
The Social Life of Information
The Social Life of Information
Knowledge and Organization: A Social-Practice Perspective
Organization Science
Bibliometric impact measures leveraging topic analysis
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Complex Adaptive Systems: An Introduction to Computational Models of Social Life (Princeton Studies in Complexity)
Analysis of cluster formations on planer cells based on genetic programming
Computational & Mathematical Organization Theory
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Significant attention has been given to advancing cyber-infrastructures to support virtual engineering and science communities based on the proposition that virtual organizations can more effectively create and leverage knowledge due to diverse information, skills, and resources to enhance capacity to innovate. Yet, relatively little is known about desirable organizing processes in virtual open science communities. To this end, a simulation-based exploratory study is conducted to better understand the conditions that confer increased rates of innovation in such socio-technical systems. Three types of open science communities are identified and simulated using agent simulation as a method of inquiry. Simulation results show that centrality, as a measure of degree of connectedness, correlates with innovation output in exploratory and service communities up to a point. Also, utility-oriented communities have social network structures with low density and high centrality, which suggest high potential for innovation.