Application of collective knowledge diffusion in a social network environment

ABSTRACT

We present a group dynamics model that shows knowledge integration as a process occurring over time. As each individual in the group contact others, his own knowledge changes, and over time the collective knowledge is obtained. This allows modeling knowledge diffusion in a social network and while the models presented in this paper are not competitive in that area, they approach the problem from previously unconsidered direction. We test the behavior of the model in a multi-agent simulation and we test a simple advertisement campaign in a social network. We provide discussion of elements needed for making model more competitive.

KEYWORDS:

• Knowledge integration
• agent simulation
• knowledge diffusion
• collective intelligence
• social networks

Disclosure statement

No potential conflict of interest was reported by the author.

Additional information

Funding

This work was supported by the Polish National Science Centre under grant no. 2017/01/X/ST6/01497