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Mobile social network user relationship inference method based on space-time relationship learning

A mobile social network, space-time relationship technology, applied in the field of mobile social network user relationship inference, can solve problems such as inability to directly obtain relationship inference, loss of mobile data time information, etc.

Active Publication Date: 2020-10-02
DONGHUA UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this type of method is based on individual modeling and loses time information in mobile data, so it cannot directly obtain more accurate relationship inference

Method used

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  • Mobile social network user relationship inference method based on space-time relationship learning
  • Mobile social network user relationship inference method based on space-time relationship learning
  • Mobile social network user relationship inference method based on space-time relationship learning

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Embodiment Construction

[0044] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0045] The present invention infers whether there is a friend relationship between users by using the similarity of moving trajectories between users and the dissemination of social networks. figure 1 as an abstraction of the real problem. The inference model is divided into two stages: 1. Construction of initial social network graph: Based on the observation that the moving trajectories between friends generally have higher s...

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Abstract

The invention provides a mobile social network user relationship inference method based on space-time relationship learning. The method gives consideration to the mobility and sociality among individuals at the same time, and considers the effectiveness of a social network structure on social connection prediction. The method comprises the steps: firstly constructing a preliminary social graph based on the mobility of a user, extracting social network structure features of the user pair from the preliminarily constructed social graph, and finally performing friend relationship inference by integrating the features in the two aspects of mobility and sociality. Once the model is trained, different scenes can be better migrated to predict the friend relationship between users. Experiments ontwo real world data sets prove that the method is always superior to the existing method. In addition, the model is also effective for the relationship with a small amount of sign-in data and withoutmeeting events.

Description

technical field [0001] The invention relates to a mobile social network user relationship inference method based on spatio-temporal relationship learning, which utilizes the user's mobile information. Background technique [0002] In recent years, with the popularization of mobile social network applications such as Facebook, Twitter and Weibo, users can timely publish the places of interest they are visiting (a restaurant, a tourist attraction, etc.) to share with friends. Although such social methods bring great convenience to people's making friends, there is a risk of leaking users' social relationships. Users of mobile social networks are also gradually aware of this. For example, a large-scale study of Facebook users shows that the proportion of Facebook users who hide their friends list has increased from 17.2% in 2010 to 56.2% in 2011. But few users know that their friends can be inferred by using check-in records with spatio-temporal relationships, thus accurately ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N5/04G06F16/9536G06F16/9537G06K9/62G06Q50/00
CPCG06N5/041G06F16/9536G06F16/9537G06Q50/01G06F18/2411
Inventor 陶玉婷常姗朱弘恣王佳程杜坷坷
Owner DONGHUA UNIV
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