Publication result detail

Trust evaluation on Facebook using multiple contexts

ŠVEC, T.; SAMEK, J.

Original Title

Trust evaluation on Facebook using multiple contexts

English Title

Trust evaluation on Facebook using multiple contexts

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

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.

English abstract

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.

Keywords

social network, trust, multi-context trust, Facebook

Key words in English

social network, trust, multi-context trust, Facebook

Authors

ŠVEC, T.; SAMEK, J.

RIV year

2014

Released

17.04.2013

ISBN

1613-0073

Periodical

CEUR Workshop Proceedings

Volume

2013

Number

997

State

Federal Republic of Germany

Pages from

23

Pages to

32

Pages count

10

URL

Full text in the Digital Library

BibTex

@article{BUT103480,
  author="Tomáš {Švec} and Jan {Samek}",
  title="Trust evaluation on Facebook using multiple contexts",
  journal="CEUR Workshop Proceedings",
  year="2013",
  volume="2013",
  number="997",
  pages="23--32",
  issn="1613-0073",
  url="http://www.ceur-ws.org/Vol-997/trum2013_proceedings.pdf"
}