Infection intensity measurement method for question and answer social network user sharing behaviors

Abstract

The invention provides an infection intensity measurement method for user sharing behaviors of a question-answer social network, and the method comprises the steps: obtaining the existing historical behavior data of a user, and determining the personal attributes of the user and the attention relation between the users; performing numeralization and vectorization processing on the question and answer data; constructing a social network, and analyzing factors influencing the infectivity; constructing a plurality of possible infection trees by analogy tree models on the basis of common propagation paths of information; after all possible infection trees are constructed, calculating the infection probability between the nodes, and after the infection probability of all the nodes of the same infection tree is obtained, calculating the size of the infection force exerted by a certain user in the whole network. The factors such as the popularity degree, the activity degree and the attributeintegrity degree of the user knowledge sharing behaviors are more comprehensively considered, multiple possible infection networks are constructed based on the characteristics of the uncertain infection source to calculate the infection of the user, and the method for measuring the infection can be applied to multiple scenes in real life.

Description

technical field [0001] The invention relates to the field of information dissemination, in particular to a method for measuring the contagion of sharing behaviors of question-and-answer social network users. Background technique [0002] Behavioral contagion refers to the tendency and process in which individual behavior triggers the same behavior of related people. Specifically, when an individual's behavior is made in the network, it will stimulate his friends, and then the friends will show the same behavior. This phenomenon is called behavioral contagion. [0003] With the rapid development of network technology, virtual communities correspond to the emergence of social networks. People's communication is no longer limited by space, and a new medium is built for the dissemination of knowledge, which saves the time and cost of dissemination. On the one hand, it promotes the realization of knowledge sharing, and on the other hand, it promotes the development of question-a...

AI Technical Summary

Problems solved by technology

However, how to measure the contagiousness of knowledge sharing behavior and what factors will affect the contagiousness still need to be solved urgently.

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