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User position inference method and system based on loop coupling

A user and real location technology, applied in the field of social media user location inference, can solve the problems of lack of social relationship self-characteristic mining, affecting the accuracy of location inference, etc., to achieve the effect of reducing errors and improving accuracy

Pending Publication Date: 2022-07-29
PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU
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Problems solved by technology

[0009] The present invention aims at the existing social media user position inference method, which usually integrates the user's text information and network information by transferring the user's text features in the social graph, lacks the mining of the characteristics of the social relationship itself, and affects the accuracy of position inference problem, a user location inference method and system based on cyclic coupling is proposed

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  • User position inference method and system based on loop coupling
  • User position inference method and system based on loop coupling
  • User position inference method and system based on loop coupling

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Embodiment Construction

[0098] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments:

[0099] In order to facilitate reading and understanding of the method proposed by the present invention, some symbols and definitions used and problems to be solved are described as follows.

[0100] Definition 1: User social relationship graph. Denote the user social relationship graph as G=(V, E). Among them, V is the set of user nodes, and V=V L ∪V U ;V L represents the set of users whose locations are known, called marked nodes; V U Represents a collection of users whose locations are unknown, called unlabeled nodes. E is the set of undirected edges in the graph, the two users v i , v j The edge between ∈V is denoted as e(v i , v j ).

[0101] Definition 2: First-order neighbors. For a user v∈V, denote its first-order neighbors as N v . The first-order neighbors of a user refer to the set of users directly connected to the user...

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Abstract

The invention discloses a user position inference method and system based on loop coupling, and the method comprises the steps: firstly constructing a collapse network according to the mention relation of a user, and reducing the number of isolated nodes; secondly, endowing each user with two attributes, calculating structural features of the users in the social network graph based on a graph theory, calculating text features of the users according to generated texts of the users, and taking the text features as iterative initial values of the user attributes; in the social graph of the user, the two attributes are circularly crossed and iterated, and correlation and fusion of information are realized through mutual enhancement; and finally inferring the most probable position according to the attribute value of the user in the network convergence state. On the basis of a public data set, experimental results of the method and four existing algorithms show that the city-level position inference accuracy Accuracy of the method is 37%, Accuracy at161 is 64% and is improved by 6%, 3%, 6% and 2% compared with the existing method, and the average error and the median error of the method are better than those of the existing method.

Description

technical field [0001] The present invention belongs to the technical field of social media user location inference, and in particular, relates to a method and system for inferring user location based on loop coupling. Background technique [0002] With the popularity of mobile Internet and the growing number of social media users, social media data has become a focus of the data analysis industry. Among them, the geographic location information can map the data in the virtual network to the real world. Social media user location inference can provide key information for disaster monitoring, disease spread control, political analysis, regional analysis of social behavior, and accurate advertising, which is of great practical significance. [0003] The earliest work was to infer a user's location from information such as the user's IP address and GPS. However, such information is difficult to obtain and involves user privacy issues. Later, a large number of scholars and li...

Claims

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Application Information

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IPC IPC(8): G06N5/04G06F16/9536G06Q50/00
CPCG06N5/041G06F16/9536G06Q50/01
Inventor 罗向阳刘毅敏刘宇陶致远张萌薛锦乔亚琼
Owner PLA STRATEGIC SUPPORT FORCE INFORMATION ENG UNIV PLA SSF IEU