Measurement model and measurement method for private information propagation range in social network

Abstract

The invention discloses a measurement model and a measurement method for a private information propagation range in a social network; the measurement method comprises the steps: constructing the social network, and setting the intimacy and attention of each network node in the social network; randomly selecting a network node as an initial sending node, and starting to propagate the privacy information of the privacy information main body based on the infectious disease model; determining the state of the network node according to the intimacy and attention of each network node and the basic propagation probability of the infectious disease model; after the propagation of the private information is completed in the social network, counting a state conversion result of each network node in the social network; and determining the propagation range of the private information according to the state conversion result. Through the technical scheme of the invention, the propagation of the privacy information is more consistent with a real scene, the measurement of the propagation range of the privacy information is realized, and the objectivity and accuracy of the measurement process of the propagation range of the privacy information are improved.

Description

technical field [0001] The present invention relates to the technical field of information dissemination, in particular to a measurement model for the transmission range of private information in a social network and a measurement method for the transmission range of private information in a social network. Background technique [0002] Since web2.0, thanks to the rapid development of the mobile Internet and the global popularity of smartphones, online social networks have also ushered in a golden period of development, and the number of global social media users has grown to 3.5 billion at the beginning of 2019 , which pushes the global penetration rate to 45%. On social platforms such as Twitter and Weibo, users can often obtain popular information or topics of interest quickly and in a timely manner. However, with the explosive dissemination of information by a large number of users in social networks, the disadvantages such as privacy and security issues are gradually e...

AI Technical Summary

Problems solved by technology

[0004] However, in the existing technology, there is no relevant model to describe the propagation situation of the special information type of private information under the joint action of multiple factors, and it is not clear what kind of private information is in the process of propagation. Under what circumstances will it be disseminated, and after the dissemination is complete, effective parameters or indicators cannot be used to measure the scope of dissemination of private information

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