Data processing method for social network

Abstract

The invention, which belongs to the technical field of computers, provides a data processing method for a social network. The method comprises: user information, uploaded by an intelligent hardware device, of a specific user is obtained; the user information of the specific user is bound with the location information of the intelligent hardware device; a smart contract is issued; a blockchain bifurcation is established; statistics of specific users added into the blockchain bifurcation is carried out; a sub-virtual social network is formed; behavior data of members in the sub-virtual social network are recorded; structural processing is carried out on the behavior data to form various user portraits. With the method provided by the invention, the user's behavior data can be analyzed comprehensively; the user portrait formation process is simplified; and the novel social credit system is constructed based on the user portrait.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a data processing method for social networks. Background technique [0002] At present, the existing virtual social networks are usually deployed on the Internet in the form of instant messaging or self-media platforms. Users can add friends to each other, build a virtual social network spontaneously, or continue to pay attention to the information of self-media publishers or reviewers and communicate with them. Interact and form a virtual social network based on topics or opinion leaders. [0003] The above-mentioned types of virtual social networks are established spontaneously, and have the characteristics of unclear locations of members, unclear reasons for formation, lack of focus on topics and interests, and weak connections between users. [0004] The cost of developing, deploying, and operating such a virtual social network is huge, and users can use it for free. Howev...

AI Technical Summary

Problems solved by technology

However, the current virtual social tools based on the Internet do not rely on the above basic conditions. For example, there is a lack of strong connection among WeChat group members, the fan group of Weibo Big V lacks location information and trust among members, and Momo users lack mutual trust. and many more

Although the above-mentioned social networks have developed rapidly, promoted the dissemination of information, and improved the convenience of social interaction, they have brought various negative impacts to society, such as: Internet fraud, rapid spread of bad information, a large number of zombie fans, and the generation of zombie groups. Leading to a sharp decline in social security and effectiveness

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