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Predicting Trust in Wikipedia’s Vote Network Using Social Networks measures

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Biomedical Applications Based on Natural and Artificial Computing (IWINAC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10338))

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Abstract

Predicting trust is an emerging topic in Social Networks research area. This problem tries to guess wheter an actor should trust another actor or not. The information used for this prediction can be extracted from different sources, such as the user profile, information extracted from the Web of Trust (WoT). The WoT contains the user explicit trust declarations about trust and distrust opinions about other actors (trustees). We propose a trust prediction experiment building features based on social networks measures to train different classifiers. Those features are extracted from the involved actors.

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Notes

  1. 1.

    http://en.wikipedia.org/wiki/Wikipedia.

  2. 2.

    http://www.cs.waikato.ac.nz/ml/weka/.

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Authors and Affiliations

  1. Computational Intelligence Group, UPV-EHU, San Sebastian, Spain

    J. David Nuñez-Gonzalez & Manuel Graña

Authors
  1. J. David Nuñez-Gonzalez
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  2. Manuel Graña
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Corresponding author

Correspondence to Manuel Graña .

Editor information

Editors and Affiliations

  1. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Departamento de Inteligencia Articial, Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez

  3. Departamento de Inteligencia Articial, Universidad Nacional de Educación a Distancia, Madrid, Spain

    Félix de la Paz López

  4. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain

    Javier Toledo Moreo

  5. The Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

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David Nuñez-Gonzalez, J., Graña, M. (2017). Predicting Trust in Wikipedia’s Vote Network Using Social Networks measures. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Biomedical Applications Based on Natural and Artificial Computing. IWINAC 2017. Lecture Notes in Computer Science(), vol 10338. Springer, Cham. https://doi.org/10.1007/978-3-319-59773-7_36

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  • DOI: https://doi.org/10.1007/978-3-319-59773-7_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59772-0

  • Online ISBN: 978-3-319-59773-7

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