Models and tools to Improve Absorptive Capacity of Distributed Knowledge Networks

Today systems finalized to knowledge creation, maintenance and diffusion into a social network are pushed to accelerate growing of their performances by competitive factors. There have been few researches on how to control this growth and make it compliant with characteristics of social network. This work aims to propose a model to create knowledge networks useful to control absorptive capacity inside the variety of levels we can find into a social network. The paper discusses an application of the model to an educational system made of nodes defined at several levels. The model provides some guideline to implement software that supports the performance empowerment of network in terms of absorptive and adaptive capacities.