Knowledge itself is power.
Knowledge flow is the power of a team.
Knowledge flow network is formed by knowledge sharing within team, especially the geographically distributed teams. It can be used to realize effective team knowledge sharing by managing knowledge sharing process. Two approaches to effective knowledge sharing are optimizing knowledge flow process to avoid unnecessary knowledge flow and stimulating individuals to actively contribute knowledge.
 H.Zhuge, Knowledge Flow, Chapter 5 in The Knowledge Grid - Toward Cyber-Physical Society, World Scientific Publishing Co. 2012.
 H. Zhuge, W. Guo, Virtual Knowledge Service Market°™For Effective Knowledge Flow within Knowledge Grid, The Journal of Systems and Software, 80 (2007) 1833®C1842. (Abstract. A knowledge service consists of systematic knowledge and the mechanism of using knowledge to perform a task. The supply of knowledge services forms a knowledge service layer over the knowledge flow network formed by free knowledge sharing. To stimulate the supply of knowledge services, this paper proposes a virtual knowledge service market by establishing reward and reputation mechanisms. Simulations demonstrate that a team with the market mechanism performs better than those without it. The virtual knowledge service market provides an experimental platform for exploring the rules of knowledge service such as the impact of individual behavior on states of individual and team as well as the change of the states.)
 H.Zhuge, W.Guo, X. Li, The potential energy of knowledge flow, Concurrency and Computation: Practice and Experience, 19 (15) (2007) 2067-2090.
 H.Zhuge, Discovery of Knowledge Flow in Science, Communications of the ACM, 49 (5) (2006) 101-107.
 H.Zhuge, Knowledge flow network planning and simulation, Decision Support Systems, 42 (2006) 571®C 592.
 H.Zhuge, A Knowledge Flow Model for Peer-to-Peer Team Knowledge Sharing and Management, Expert Systems with Applications, 23 (2002) 23-30.
 H.Zhuge, Knowledge Flow Management for Distributed Team Software Development, Knowledge-based Systems, 15 (8) (2002) 465-471.