HIGHLIGHTS
- who: PageRank et al. from the Department of Mathematics, Hong Kong University of Science and Technology, Hong Kong* have published the Article: DOI: 10.4018/IJSI.315737 *Corresponding Author, in the Journal: (JOURNAL)
- what: In this paper the Article shall investigate how can be applied in the space to build up reliable and verifiable social credit and reputation systems. The approach proposes an unbiased method of interpreting and measuring real social interaction and reputation ranking a network. Inspired by this research, the authors implement HodgeRank algorithms on Ethereum transaction data to contribute to the ranking . . .
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