Iterative group-based and difference ranking method for online rating systems with spamming attacks
It is significant to assign reputation scores to users and identify spammers in the bipartite rating networks. In this paper, we propose an Iterative Group-based and Difference Ranking (IGDR) method, which is based on the original Iterative Group-based Ranking (IGR) method. The IGR method considers...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
World Scientific
2021
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/65182/ |
| _version_ | 1848800196418338816 |
|---|---|
| author | Fu, Quan-Yun Ren, Jian-Feng Sun, Hong-Liang |
| author_facet | Fu, Quan-Yun Ren, Jian-Feng Sun, Hong-Liang |
| author_sort | Fu, Quan-Yun |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | It is significant to assign reputation scores to users and identify spammers in the bipartite rating networks. In this paper, we propose an Iterative Group-based and Difference Ranking (IGDR) method, which is based on the original Iterative Group-based Ranking (IGR) method. The IGR method considers users grouping behaviors, but it ignores the characteristics of the individual ratings. It is discovered that individual rating characteristics could also contribute to the redistribution of reputation scores of users. The user with a smaller rating deviation will be given a higher reputation score. The proposed method outperforms IGR method ranging from 8% to 163% tested on three real datasets. It also can be applied to deal with big data in a short time. |
| first_indexed | 2025-11-14T20:47:43Z |
| format | Article |
| id | nottingham-65182 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:47:43Z |
| publishDate | 2021 |
| publisher | World Scientific |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-651822021-05-07T08:58:43Z https://eprints.nottingham.ac.uk/65182/ Iterative group-based and difference ranking method for online rating systems with spamming attacks Fu, Quan-Yun Ren, Jian-Feng Sun, Hong-Liang It is significant to assign reputation scores to users and identify spammers in the bipartite rating networks. In this paper, we propose an Iterative Group-based and Difference Ranking (IGDR) method, which is based on the original Iterative Group-based Ranking (IGR) method. The IGR method considers users grouping behaviors, but it ignores the characteristics of the individual ratings. It is discovered that individual rating characteristics could also contribute to the redistribution of reputation scores of users. The user with a smaller rating deviation will be given a higher reputation score. The proposed method outperforms IGR method ranging from 8% to 163% tested on three real datasets. It also can be applied to deal with big data in a short time. World Scientific 2021-01-18 Article PeerReviewed application/pdf en cc_by https://eprints.nottingham.ac.uk/65182/1/output%20%282%29.pdf Fu, Quan-Yun, Ren, Jian-Feng and Sun, Hong-Liang (2021) Iterative group-based and difference ranking method for online rating systems with spamming attacks. International Journal of Modern Physics C . p. 2150059. ISSN 0129-1831 Complex networks; rating networks; spamming attacks http://dx.doi.org/10.1142/S0129183121500595 doi:10.1142/S0129183121500595 doi:10.1142/S0129183121500595 |
| spellingShingle | Complex networks; rating networks; spamming attacks Fu, Quan-Yun Ren, Jian-Feng Sun, Hong-Liang Iterative group-based and difference ranking method for online rating systems with spamming attacks |
| title | Iterative group-based and difference ranking method for online rating systems with spamming attacks |
| title_full | Iterative group-based and difference ranking method for online rating systems with spamming attacks |
| title_fullStr | Iterative group-based and difference ranking method for online rating systems with spamming attacks |
| title_full_unstemmed | Iterative group-based and difference ranking method for online rating systems with spamming attacks |
| title_short | Iterative group-based and difference ranking method for online rating systems with spamming attacks |
| title_sort | iterative group-based and difference ranking method for online rating systems with spamming attacks |
| topic | Complex networks; rating networks; spamming attacks |
| url | https://eprints.nottingham.ac.uk/65182/ https://eprints.nottingham.ac.uk/65182/ https://eprints.nottingham.ac.uk/65182/ |