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Incentive and Game of Information Sharing Based on Blockchain Technology
Author(s) -
Yuhong Xin,
Rongjun Cheng,
Liu Dehui
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2173/1/012034
Subject(s) - incentive , information sharing , blockchain , value (mathematics) , information resource , knowledge management , shared resource , value of information , computer science , microeconomics , business , environmental economics , economics , computer security , world wide web , machine learning , artificial intelligence
With the development of the information age, the efficiency of information resource sharing has not been fully released, and the willingness of participants to share information needs to be improved. It is of great significance to promote the willingness of participants to share information and increase the value of information utilization. Aiming at the problem of low information sharing rate of participants, this paper constructs an evolutionary game model between information sharing and non-sharing participants under the blockchain technology platform and introduces the critical value corresponding to the initial proportion of participants under the condition of a stable strategy as a trigger Conditions, dynamic adjustment of incentive coefficients to maintain a stable strategy of information sharing, simulation with MATLAB. Research shows that the use of blockchain smart contract technology to dynamically adjust the evolutionary stability strategy is shown as: When the initial proportion of participants is lower than the critical value, the incentive parameters are transformed into shared incentive benefits to motivate the participants to actively participate in information sharing; when it is higher than the critical value, the incentive parameters are transformed into sharing costs and dynamically adjusted to reach the initial participants. The proportion is maximized, which provides a strategy for participants to choose information-sharing strategies.

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