Detail publikace

Trust Evaluation on Facebook Using Multiple Contexts

Originální název

Trust Evaluation on Facebook Using Multiple Contexts

Anglický název

Trust Evaluation on Facebook Using Multiple Contexts

Jazyk

en

Originální abstrakt

This paper applies the term trust from the point of view of arti cial intelligence to social network analysis methods. It evaluates current available interactions for a model of trust considering various social networks. A mathematical model of trust for Facebook is designed. This model is implemented in Python programming language. Experiments are conducted on a sample amount of Facebook users and furthermore analysed from the perspective of both arti cial intelligence and social psychology.

Anglický abstrakt

This paper applies the term trust from the point of view of arti cial intelligence to social network analysis methods. It evaluates current available interactions for a model of trust considering various social networks. A mathematical model of trust for Facebook is designed. This model is implemented in Python programming language. Experiments are conducted on a sample amount of Facebook users and furthermore analysed from the perspective of both arti cial intelligence and social psychology.

BibTex


@article{BUT103480,
  author="Tomáš {Švec} and Jan {Samek}",
  title="Trust Evaluation on Facebook Using Multiple Contexts",
  annote="This paper applies the term trust from the point of view of articial
intelligence to social network analysis methods. It evaluates current available
interactions for a model of trust considering various social networks.
A mathematical model of trust for Facebook is designed. This model is implemented
in Python programming language. Experiments are conducted on a sample amount of
Facebook users and furthermore analysed from the perspective of both articial
intelligence and social psychology.",
  address="NEUVEDEN",
  chapter="103480",
  edition="NEUVEDEN",
  howpublished="online",
  institution="NEUVEDEN",
  number="997",
  volume="2013",
  year="2013",
  month="april",
  pages="23--32",
  publisher="NEUVEDEN",
  type="journal article - other"
}