Infering trust in web-based social networks: an analysis from TidalTrust and T-SWEETS algorithms

Authors

  • Edeilson Milhomem
  • Diego Oliveira Rodrigues Universidade de Campinas (UNICAMP)
  • Ana Carolina Salgado Universidade Federal de Pernambuco (UFPE)
  • Silvio Romero Lemos Meira Universidade Federal de Pernambuco (UFPE)

DOI:

https://doi.org/10.20873/uft.2675-3588.2020v1n1p18

Keywords:

trust inference, social network, recommender systems

Abstract

This work presents an analysis between two approaches for inferring trust in social networks: TidalTrust and T-SWEETS. The first part of this research is composed by an experiment with the Epinions, Slashdot and Wikipedia datasets in order to define the most suitable type of trust value (integer or fractioned, positive or negative, and so on). Furthermore, the second part of this research reports a comparative analysis between both algorithms. The results indicate that T-SWEETS outperforms TidalTrust in terms of accuracy and maintains the transitivity principle, which is the basic principle of trust.f trust.

Downloads

Published

2020-03-06

How to Cite

[1]
Milhomem, E. et al. 2020. Infering trust in web-based social networks: an analysis from TidalTrust and T-SWEETS algorithms . Academic Journal on Computing, Engineering and Applied Mathematics. 1, 1 (Mar. 2020), 18–22. DOI:https://doi.org/10.20873/uft.2675-3588.2020v1n1p18.

Issue

Vol. 1 No. 1 (2020)

Section

Brief Communication

Categories

License

Copyright (c) 2020 Edeilson Milhomem, Diego Oliveira Rodrigues, Ana Carolina Salgado, Silvio Romero Lemos Meira

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Authors who publish in this journal agree to the following terms:

  1. Authors retain copyright and grant the journal the right of first publication, with work simultaneously licensed under the Creative Commons Attribution License (CC BY-NC 4.0), allowing work sharing with acknowledgment of the work's authorship and initial publication in this journal. ;
  2. Authors are authorized to enter additional contracts separately for the non-exclusive distribution of the version of the work published in this journal (eg, publishing in an institutional repository or as a book chapter), with acknowledgment of authorship and initial publication in this journal;
  3. Authors are allowed and encouraged to post and distribute their work online (eg, in institutional repositories or on their personal page) at any point after the editorial process;
  4. In addition, the AUTHOR is informed and agrees with the journal that, therefore, his paper may be incorporated by the AJCEAM into existing or existing scientific information systems and databases (indexers and databases). in the future (indexers and future databases), under the conditions defined by the latter at all times, which will involve at least the possibility that the holders of these databases may perform the following actions on the paper:
    1. Reproduce, transmit and distribute the paper in whole or in part in any form or means of existing or future electronic transmission, including electronic transmission for research, viewing and printing purposes;
    2. Reproduce and distribute all or part of the article in print;
    3. Translate certain parts of the paper;
    4. Extract figures, tables, illustrations, and other graphic objects and capture metadata, captions, and related article for research, visualization, and printing purposes;
    5. Transmission, distribution, and reproduction by agents or authorized by the owners of database distributors;
    6. The preparation of bibliographic citations, summaries and indexes and related capture references from selected parts of the paper;
    7. Scan and/or store electronic article images and text.