The application of Randomized HITS algorithm in the fund trading network

For the economic crime investigation, it is very important for the rapid detection of the case to determine the key suspects efficiently and accurately in the fund trading network. In this paper, the design idea of Randomized HITS algorithm, combined with the fund flow characteristics of the personnel in the fund trading network, is used to study the key suspects. Based on the characteristics of the amount of funds and the frequency of transactions in the personnel relationship of the fund trading network, this paper expounds in detail how to construct the probability transfer matrix. In the end, the method is applied to a really case. From the final result, the algorithm can find the key suspects quickly from the large amount of fund trading data, improve the efficiency of information analysis. It provides a new alternative method of fund network analysis.

Abstract licence: CC BY

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