CredSaT: Credibility ranking of users in big social data incorporating semantic analysis and temporal factor
MetadataShow full item record
The widespread use of big social data has influenced the research community in several significant ways. In particular, the notion of social trust has attracted a great deal of attention from information processors and computer scientists as well as information consumers and formal organisations. This attention is embodied in the various shapes social trust has taken, such as its use in recommendation systems, viral marketing and expertise retrieval. Hence, it is essential to implement frameworks that are able to temporally measure a user’s credibility in all categories of big social data. To this end, this article suggests the CredSaT (Credibility incorporating Semantic analysis and Temporal factor), which is a fine-grained credibility analysis framework for use in big social data. A novel metric that includes both new and current features, as well as the temporal factor, is harnessed to establish the credibility ranking of users. Experiments on real-world datasets demonstrate the efficacy and applicability of our model in determining highly domain-based trustworthy users. Furthermore, CredSaT may also be used to identify spammers and other anomalous users.
Showing items related by title, author, creator and subject.
Salih, B.; Clarke, P.; Zhu, D.; Wongthongtham, Pornpit (2015)In Online Social Networks (OSNs) there is a need for better understanding of social trust in order to improve the analysis process and mining credibility of social media data. Given the open environment and fewer restrictions ...
A Preliminary Approach to Domain-based Evaluation of Users’ Trustworthiness in Online Social NetworksSalih, B.; Wongthongtham, Pornpit; Beheshit, S.; Zhu, Dengya (2015)Online Social Networks (OSNs) are a fertile medium through which users can unleash their opinions and share their thoughts, activities and knowledge of various topics and domains. This medium allows legitimate users as ...
Hajli, M.; Sims, J.; Featherman, M.; Love, Peter (2014)Social media and Web 2.0 empower individuals to generate content online. It is important to better understand the potential added value of social media for e-health service provision. Social support and credibility of ...