A method for calculating social network trust degree based on user wishes

Abstract

A social network trust degree calculation method based on user wishes, including sequentially constructing user clusters and selecting a training set, obtaining a set of interval numbers according to the training set, calculating an attribute-based interval number distance for any user to be determined, and according to the interval number distance Obtain the trust factor and combine trust evidence, perform evidence fusion on all trust evidence and calculate the optimal weight set, combine the interval number set and the optimal weight set to form the user's will, and the social network platform calculates the trust degree according to the user's will. The present invention provides a social network trust degree calculation method based on user wishes, which can reflect user wishes and individuality when users make trust decisions, thereby helping to provide more accurate policy basis for various application research of social networks.

Description

technical field [0001] The invention relates to the technical field of social network, in particular to a method for calculating trust degree of social network based on user wishes. Background technique [0002] Social Media (Social Media) is a new type of media emerging under the background of the Internet's increasing penetration and influence on reality. It is a new model of social interaction through ubiquitous communication tools. In particular, the deep popularization of mobile terminals such as smartphones and the rapid development of 4G / 5G network infrastructure make it more convenient to "create" and "disseminate" anytime, anywhere. Mobile network users, who account for 95.1% of the total number of Internet users, are rapidly forming a "wireless sensor network" of human society, collecting and generating digital content in various formats for social circle sharing to express personal thoughts, emotions and experiences. Social media is an indispensable carrier and t...

AI Technical Summary

Problems solved by technology

However, these methods have certain deficiencies, mainly reflected in ignoring the subjectivity and individuality of trust.

In the current trust calculation process, the common practice is to model and calculate all the user social attribute sample data to be evaluated in a unified manner, without mining and analyzing the privacy preferences of users when making trust decisions, and failing to reflect the user's trust feelings Subjectivity and individual differences, large errors in trust calculation

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