A Bayesian multiagent trust model for social networks
In this paper, we introduce a framework for modeling the trustworthiness of peers in the setting of online social networks. In these contexts, it may be important to be filtering the wealth of messages that have been sent, which form the ongoing communication within a large community of users. This...
| Päätekijät: | , , , |
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| Muut tekijät: | |
| Aineistotyyppi: | Journal Article |
| Kieli: | English |
| Julkaistu: |
2020
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| Aiheet: | |
| Linkit: | https://hdl.handle.net/10356/140633 |
| _version_ | 1826125633588035584 |
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| author | Sardana, Noel Cohen, Robin Zhang, Jie Chen, Shuo |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Sardana, Noel Cohen, Robin Zhang, Jie Chen, Shuo |
| author_sort | Sardana, Noel |
| collection | NTU |
| description | In this paper, we introduce a framework for modeling the trustworthiness of peers in the setting of online social networks. In these contexts, it may be important to be filtering the wealth of messages that have been sent, which form the ongoing communication within a large community of users. This is achieved by constructing an intelligent agent that reasons about the message and each peer rater of the message, learning over time to properly gage whether a message is good or bad to show a user, based on message ratings, rater similarity, and rater credibility. Our approach employs a partially observable Markov decision process for trust modeling, moving beyond the more traditional adoption of probabilistic reasoning using beta reputation functions. In addition to outlining the technique in full, we present empirical results to demonstrate the effectiveness of our methods, both in simulations featuring head to head comparisons with competitors, and in the context of some existing online social networks where ground truth data are available. |
| first_indexed | 2024-10-01T06:39:33Z |
| format | Journal Article |
| id | ntu-10356/140633 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:39:33Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1406332020-06-01T02:55:52Z A Bayesian multiagent trust model for social networks Sardana, Noel Cohen, Robin Zhang, Jie Chen, Shuo School of Computer Science and Engineering Computational Intelligence Laboratory Engineering::Computer science and engineering Bayesian Approaches Decision Making In this paper, we introduce a framework for modeling the trustworthiness of peers in the setting of online social networks. In these contexts, it may be important to be filtering the wealth of messages that have been sent, which form the ongoing communication within a large community of users. This is achieved by constructing an intelligent agent that reasons about the message and each peer rater of the message, learning over time to properly gage whether a message is good or bad to show a user, based on message ratings, rater similarity, and rater credibility. Our approach employs a partially observable Markov decision process for trust modeling, moving beyond the more traditional adoption of probabilistic reasoning using beta reputation functions. In addition to outlining the technique in full, we present empirical results to demonstrate the effectiveness of our methods, both in simulations featuring head to head comparisons with competitors, and in the context of some existing online social networks where ground truth data are available. MOE (Min. of Education, S’pore) 2020-06-01T02:55:52Z 2020-06-01T02:55:52Z 2018 Journal Article Sardana, N., Cohen, R., Zhang, J., & Chen, S. (2018). A Bayesian multiagent trust model for social networks. IEEE Transactions on Computational Social Systems, 5(4), 995-1008. doi:10.1109/tcss.2018.2879510 2329-924X https://hdl.handle.net/10356/140633 10.1109/TCSS.2018.2879510 2-s2.0-85056705425 4 5 995 1008 en IEEE Transactions on Computational Social Systems © 2018 IEEE. All rights reserved. |
| spellingShingle | Engineering::Computer science and engineering Bayesian Approaches Decision Making Sardana, Noel Cohen, Robin Zhang, Jie Chen, Shuo A Bayesian multiagent trust model for social networks |
| title | A Bayesian multiagent trust model for social networks |
| title_full | A Bayesian multiagent trust model for social networks |
| title_fullStr | A Bayesian multiagent trust model for social networks |
| title_full_unstemmed | A Bayesian multiagent trust model for social networks |
| title_short | A Bayesian multiagent trust model for social networks |
| title_sort | bayesian multiagent trust model for social networks |
| topic | Engineering::Computer science and engineering Bayesian Approaches Decision Making |
| url | https://hdl.handle.net/10356/140633 |
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