Behavior time series based block-chain node clustering method
A technology of time series and clustering method, applied in the field of blockchain
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[0017] In order to describe the present invention more specifically, the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0018] The block chain node clustering method based on behavioral time series of the present invention comprises the following steps:
[0019] 1. Extract the behavioral time series of each blockchain node. The information of each blockchain node includes account balance, monthly (or weekly) transaction frequency, transaction amount, speed of producing blocks, etc. For a single node, the sequence of its valuable information (such as transaction amount) changing over time is extracted as the feature of user behavior, which is recorded as the node's behavior time series.
[0020] 2. Calculate the similarity between every two behavioral time series. The similarity of time series is calculated using dynamic time warping algorithm DTW. DTW is chosen to be abl...
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