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Influence Assessment Model of a Person within Heterogeneous Networks Based on Networked Community

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(10), pp.181-188
  • DOI : 10.9708/jksci.2018.23.10.181
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : September 19, 2018
  • Accepted : September 28, 2018
  • Published : October 31, 2018

Tae-Geon Kim 1 Soungwoong Yoon 1 Lee Sang Hoon 1

1국방대학교

Accredited

ABSTRACT

In this paper, we tried to investigate whether the influence of 'I' in a heterogeneous network of physical network and virtual network can be quantitatively measurable. To do this, we used Networked Community(NC) methodology to devise a concrete model of influence assessment in heterogeneous network. In order to test the model, we conducted an experiment with Donald J. Trump and his surroundings to evaluate the effectiveness of this influence assessment model. Experimentation included the measurement of impacts on the physical and virtual networks, and the impact on the networked community. Using Trump's case, we found that analyzing only one of the two networks can not accurately analyze the impact on others.

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