Storage Optimization Algorithm for Publication Blockchain

“We Media” is developing rapidly and there is a sharp increase in the number of various electronic publications. Meanwhile, copyright issues between author and publisher are becoming increasingly prominent. To solve this problem, storage optimization algorithm for publication blockchain is based on Pearson similarity algorithm and K-means algorithm. First, the author and publisher association table is built by cooperation record between author and publisher and familiarity calculation method is designed. Subsequently, clustering algorithm is established by using the maximum and minimum principle. On this basis, the prediction algorithm is established. These algorithms are used to adjust Merkle tree structure. Finally, effectiveness of the algorithm is verified by experiments.