The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A model of a trust-based recommendation system on a social network
Open accessAbstract
In this paper, we present a model of a trust-based recommendation system on a social network. The idea of the model is that agents use their social network to reach information and their trust relationships to filter it. We investigate how the dynamics of trust among agents affect the performance of the system by comparing it to a frequency-based recommendation system. Furthermore, we identify the impact of network density, preference heterogeneity among agents, and knowledge sparseness to be crucial factors for the performance of the system. The system self-organises in a state with performance near to the optimum; the performance on the global level is an emergent property of the system, achieved without explicit coordination from the local interactions of agents.
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Citations
Cites
Emergence of Scaling in Random Networks
Barabási, A.-L., & Albert, R. (1999) · Science · doi:10.1126/science.286.5439.509 · Cited by 36,135
The anatomy of a large-scale hypertextual Web search engine
Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004
Classes of small-world networks
Amaral, L. A. N., Scala, A., Barthélémy, M., & Stanley, H. E. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200327197 · Cited by 3,051
A survey of trust in internet applications
Grandison, T., & Sloman, M. (2000) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2000.5340804 · Cited by 1,157
Computer Networks As Social Networks
Wellman, B. (2001) · Science · doi:10.1126/science.1065547 · Cited by 918
Cited by
Trust-based recommendation systems in Internet of Things: a systematic literature review
Mohammadi, V., Rahmani, A. M., Darwesh, A. M., & Sahafi, A. (2019) · Human-centric Computing and Information Sciences · doi:10.1186/s13673-019-0183-8 · Cited by 185
Himeur, Y., Sohail, S. S., Bensaali, F., Amira, A., & Alazab, M. (2022) · Computers & Security · doi:10.1016/j.cose.2022.102746 · Cited by 139
FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering
Yang, E., Huang, Y., Liang, F., Pan, W., & Ming, Z. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.106946 · Cited by 58
Xu, L., & Sang, X. (2022) · Scientific Programming · doi:10.1155/2022/4823828 · Cited by 23
Metadata
- Authors
- Walter, F. E., Battiston, S., & Schweitzer, F.
- Venue
- Autonomous Agents and Multi-Agent Systems
- Published
- 2007-10-18
- Volume
- 16
- Issue
- 1
- Pages
- 57-74
- ISSN
- 1387-2532 (ISSN-L)
- 1573-7454
- OpenAlex
- W2167032986
- Cited by
- 386
- References
- 5
- FWCI
- 45.26
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
