Li et al., 2017
- David Doret (Open Measure)
A Zombie Account Detection Method in Microblog Based on the PageRank
Type
Article
Year
2017
Authors
Li, S., Li, X., Yang, H., Sun, G., Lang, F.
Identifiers
DOI: 10/ghfbd3
INSPEC Accession Number: 17098572
Electronic ISBN:978-1-5386-2072-4
Print on Demand(PoD) ISBN:978-1-5386-2073-1
Publication
2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), IEEE, Prague, Czech Republic
Pages
267–270
Abstract
The microblog platform treats the 'concern' as the relationship between the accounts, by which the social network of the accounts is built. In this paper, we use the PageRank algorithm to identify zombie microblog accounts. For the microblogs, the directions of the hyperlinks between the pages and the attentions of the social relations can be seen as the directed links in social network. If an account has a lower PageRank value, the account is more likely to be a zombie account. Experimental results show that the proposed method is effective on Sina microblog platform.
(Li et al., 2017, p. 1)
Links
Citation
Li, S., Li, X., Yang, H., Sun, G., Lang, F., 2017. A Zombie Account Detection Method in Microblog Based on the PageRank, in: 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C). Presented at the 2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), IEEE, Prague, Czech Republic, pp. 267–270. https://doi.org/10/ghfbd3
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