English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Decentralization has been widely acknowledged as a core virtue ofblockchains. However, in the past, there have been few measurement studies onmeasuring and comparing the actual level of decentralization between existingblockchains using multiple metrics and granularities. This paper presents a newcomparison study of the degree of decentralization in Bitcoin and Ethereum, thetwo most prominent blockchains, with various decentralization metrics anddifferent granularities within the time dimension. Specifically, we measure thedegree of decentralization in the two blockchains during 2019 by computing thedistribution of mining power with three metrics (Gini coefficient, Shannonentropy, and Nakamoto coefficient) as well as three granularities (days, weeks,and months). Our measurement results with different metrics and granularitiesreveal the same trend that, compared with each other, the degree ofdecentralization in Bitcoin is higher, while the degree of decentralization inEthereum is more stable. To obtain the cross-interval information missed in thefixed window based measurements, we propose the sliding window basedmeasurement approach. The corresponding results demonstrate that the use ofsliding windows could reveal additional cross-interval information overlookedby the fixed window based measurements, thus enhancing the effectiveness ofmeasuring decentralization in terms of continuous trends and abnormalsituations. We believe that the methodologies and findings in this paper canfacilitate future studies of decentralization in blockchains.

Measuring Decentralization in Bitcoin and Ethereum using Multiple Metrics and Granularities