Global reputation score (GRS): is a metric that reflects the level of activity and influence of an account on the entire network. It is synthesized from data sources such as on-chain activities like transactions, gas spent, tx volume, degree, age, etc., and calculated by the Octan reputation algorithm. The higher the score, the more positive the account’s activity and influence on other accounts in the network.
Category reputation score (CRS): similar to GRS but measures only within a specified category. Each category will have a score with a different name such as DeFi RS, GameFi RS, NFT RS. The CRS score is independent and not affected by GRS, meaning that a wallet can have a higher CRS score than its own GRS.
Inertial wallet: wallets with zero reputation score, no influence in the entire network, rarely active or operate very locally. These wallets are usually bot wallets, clone wallets, or distribute token wallets.
Influential wallet: wallets with non-zero reputation score, have certain influence in the entire network.
Depending on the measured space, each wallet will have a different status. A wallet can be an inertial wallet in this category but an influential wallet in another category.
Acquisition rate: is a metric that reflects the ability of a project to acquire users from the ecosystem. For example, if the ecosystem has 100 daily active user wallets and the project has 10 daily active user wallets at the same time, then the acquisition rate of the project is 10%. This metric makes it easy to classify projects that are conducting on-chain marketing and building an effective user base.
Influence rate: is a metric that reflects the level of influence of an entity (category, wallet group, contract group, project) on the entire network. This metric reveals many interesting insights. For example, most of the time, BNBchain has a lower contract influence rate than Ethereum, indicating that users on Ethereum mainly interact with projects rather than trading with each other (this is true because of high gas fees) compared to users on BNB. Combined with other statistics such as the number of inertial wallets, average GRS, it will be easy to identify targeted users or user personas for each chain.
Performance chart: Octan compute RS and updates every 2 weeks. Then apply the RS scores to on-chain statistics to clarify the level of activity of each object group. For example, when showing the average GRS of daily active wallets in January, from day 1 to day 15, Octan will take the RS score updated on day 1 of each daily active wallet to calculate the average. Similarly, for days 16-30, the updated RS score on day 16 will be taken. This makes the data on entities’ performance more reliable and realistic because at different times, their reputation will also be different.