On graphs with the maximum number of spanning trees
Proceedings of the seventh international conference on Random structures and algorithms
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Common Knowledge: How Companies Thrive by Sharing What They Know
Common Knowledge: How Companies Thrive by Sharing What They Know
Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation
Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation
E-Learning: Strategies for Delivering Knowledge in the Digital Age
E-Learning: Strategies for Delivering Knowledge in the Digital Age
Knowledge Emergence: Social, Technical, and Evolutionary Dimensions of Knowledge Creation
Knowledge Emergence: Social, Technical, and Evolutionary Dimensions of Knowledge Creation
Computer Networks
Knowledge Management Processes and International Joint Ventures
Organization Science
Network Structure in Virtual Organizations
Organization Science
Knowledge Networks: Explaining Effective Knowledge Sharing in Multiunit Companies
Organization Science
Small Worlds: The Dynamics of Networks between Order and Randomness
Small Worlds: The Dynamics of Networks between Order and Randomness
Frictionless Commerce? A Comparison of Internet and Conventional Retailers
Management Science
Graph Theory, Combinatorics and Algorithms: Interdisciplinary Applications (Operations Research/Computer Science Interfaces Series)
Toward a Theory of Knowledge Reuse: Types of Knowledge Reuse Situations and Factors in Reuse Success
Journal of Management Information Systems
Toward Virtual Community Knowledge Evolution
Journal of Management Information Systems
Competition Among Virtual Communities and User Valuation: The Case of Investing-Related Communities
Information Systems Research
Efficient Structures for Innovative Social Networks
Management Science
A sender-receiver framework for knowledge transfer
MIS Quarterly
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Virtual knowledge organizations (VKOs) produce and embrace priceless, and often, unique knowledge assets within the boundary of each virtual community. An important question is how do we maximize the benefits from these valuable assets at the entire VKO network level? Relying on the graph theory, this study is to investigate how the structure of virtual knowledge networks formed by knowledge agents and knowledge profile of each VKO influence the dynamics of knowledge transfer in a virtual knowledge organization network (VKON). We develop a network model through which knowledge will be efficiently disseminated when knowledge agents are uniformly distributed across the network. Using this model's intrinsic capability to assess global effects of local transformations in a network, we found that VKON complexity, a measure for efficiency of knowledge transfer, is optimized when a new knowledge agent is placed between two communities with the minimum knowledge transfer capacity. The results of this study will help understand the inter-community knowledge transfer dynamics in virtual knowledge community networks.