Temporal Network Epistemology: on Reaching Consensus in Real World Setting

@article{Michalski2022TemporalNE,
  title={Temporal Network Epistemology: on Reaching Consensus in Real World Setting},
  author={Radosław Michalski and Damian Serwata and Mateusz Nurek and Boleslaw K. Szymanski and Przemyslaw Kazienko and Tao Jia},
  journal={Chaos},
  year={2022},
  volume={32 6},
  pages={
          063135
        }
}
This work develops the concept of the temporal network epistemology model enabling the simulation of the learning process in dynamic networks. The results of the research, conducted on the temporal social network generated using the CogSNet model and on the static topologies as a reference, indicate a significant influence of the network temporal dynamics on the outcome and flow of the learning process. It has been shown that not only the dynamics of reaching consensus is different compared to… 

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