Article
2017
Li, S., Li, X., Yang, H., Sun, G., Lang, F.
DOI: 10/ghfbd3
INSPEC Accession Number: 17098572
Electronic ISBN:978-1-5386-2072-4
Print on Demand(PoD) ISBN:978-1-5386-2073-1
2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C), IEEE, Prague, Czech Republic
267–270
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)
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