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Symbol prediction method and device

A prediction method and symbol technology, applied in the field of social networking, can solve the problems of low computational efficiency and unsuitable application, and achieve the effect of improving the accuracy rate

Active Publication Date: 2021-04-06
SHENZHEN INSTITUTE OF INFORMATION TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the embodiment of the present invention provides a symbol prediction method and device, aiming to solve the problem that the existing symbol prediction method has low computational efficiency and is not suitable for application in the field of complex networks

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  • Symbol prediction method and device

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Embodiment 1

[0027] figure 1 A flow chart of a symbol prediction method provided by the first embodiment of the present invention is shown, and the details are as follows:

[0028] Step S11, defining an adjacency matrix to represent a social network, constructing a network model of the social network and initializing it.

[0029] In this embodiment, an adjacency matrix A is defined to represent a social network N, and the element a in the adjacency matrix A ij Indicates the links of node i and node j in the social network N, where i and j represent node i and node j respectively. a ij = 1 means there is a positive link between node i and node j, a ij =-1 means there is a negative link between node i and node j, a ij =0 means there is no link between node i and node j.

[0030] Construct the network model NM of described social network N and initialize this network model NM, described network model NM=(n, K, Z, π, Ω), wherein, n, K, Z, π, Ω are all described Model parameters in the ne...

Embodiment 2

[0079] image 3 A structural diagram of a sign prediction device provided by the second embodiment of the present invention is shown. For ease of description, only parts related to the embodiments of the present invention are shown.

[0080] The symbol prediction device includes: a construction unit 21, a fitting unit 22, an optimal model selection unit 23, and a symbol prediction unit 24, wherein:

[0081] The construction unit 21 is configured to define an adjacency matrix to represent a social network, construct and initialize a network model of the social network.

[0082] Further, the construction unit 21 specifically includes:

[0083] The definition module is used to define an adjacency matrix A to represent a social network, and the element a in the adjacency matrix A ij Represents the links of node i and node j in the social network, where i and j represent node i and node j respectively; a ij = 1 means there is a positive link between node i and node j, a ij =-1...

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Abstract

The invention is applicable to the field of social network, and provides a symbol prediction method and device. The method includes: defining an adjacency matrix to represent a social network, constructing a network model of the social network and initializing it; fitting the network model with the adjacency matrix, and calculating a posteriori approximate distribution of model parameters of the network model; An optimal model is selected based on the model selection criteria and the posterior approximate distribution of the model parameters; symbol prediction is performed based on the optimal model according to a predefined algorithm. The above method can improve the accuracy of symbol prediction.

Description

technical field [0001] Embodiments of the present invention belong to the field of social networks, and in particular relate to a symbol prediction method and device. Background technique [0002] In recent years, symbolic prediction has become an important content of social network research. In social networks, positive links usually represent relationships such as friendship, liking, and trust, and negative links represent relationships such as hostility, dislike, and distrust. Symbolic prediction is to predict the possible Antagonisms that arise. The positive and negative prediction of links in symbolic social networks is symbolic prediction. Symbolic prediction has very important application value for personalized recommendation of social network, identification of abnormal nodes in the network, and user clustering. [0003] In the prior art, the existing symbol prediction algorithms mainly include symbol prediction algorithms based on trust propagation model, based on ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/04G06Q50/00
CPCG06Q10/04G06Q50/01
Inventor 赵学华陈慧灵韩丽屏李晓堂詹峰刘学艳
Owner SHENZHEN INSTITUTE OF INFORMATION TECHNOLOGY