Academic team influence propagation prediction method and device, and storage medium

A technology for dissemination of prediction and influence, applied in the fields of instruments, biological neural network models, data processing applications, etc., can solve the problem of unpredictable team influence transmission, achieve high prediction accuracy, overcome limitations, and universality Good results

Pending Publication Date: 2020-05-08
CENT SOUTH UNIV
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Problems solved by technology

In order to achieve the purpose of learning hidden deep features from the original global features of the network, Perozzi et al. proposed DeepWalk in 2014. [1] Algorithm, the algorithm represents the low-dimensional vector representation of the node walk sequence through random walk in the network, and obtains

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  • Academic team influence propagation prediction method and device, and storage medium
  • Academic team influence propagation prediction method and device, and storage medium
  • Academic team influence propagation prediction method and device, and storage medium

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Embodiment Construction

[0035] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. The embodiments are exemplary, and are only used to explain the present invention, and should not be construed as limiting the present invention.

[0036] In the description of the present invention, the first and the second are only for the purpose of distinguishing the technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the indicated technology For the sequence of features, those skilled in the art can reasonably determine the specific meanings of the above words in the present invention in combination with the specific content of the technical solution.

[0037] refer to figure 1 , is a flow chart of an academic team influence propagation prediction method according to an embodiment of the present invention, inclu...

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Abstract

The invention discloses an academic team influence propagation prediction method and a device, and a storage medium. Internal organization structure characteristics and external propagation characteristics of the team are considered; a community node vector in a cooperative relationship network with an author cooperation relationship is combined with a propagation node vector in an influence propagation directed network with an author reference relationship; a deep full-connection neural network link prediction model is adopted to realize propagation prediction of team influence; according tothe method, the deep learning model is used for solving the team influence propagation link prediction problem in the complex network, the universality is good, and the limitation of link prediction of a traditional method and the defect that an existing deep learning method is difficult to predict the team influence propagation direction are overcome. Experiments of a real data set show that themethod has high prediction accuracy.

Description

technical field [0001] The present invention relates to the technical field of forecasting the spread of individual influence in a group, in particular to a method, device and storage medium for predicting the spread of influence of an academic team. Background technique [0002] Using complex network theory and methods to study the influence and communication behavior of individuals and groups is of great significance in the application fields of social e-commerce, public opinion analysis, and influence analysis in the information age. In the field of academic research, scholars publish their research results in academic journals, which is an important way to spread academic ideas. The influence of an excellent academic team will play a leading role in the development of scientific research. Predicting the spread of the influence of an academic team is a hot research issue in complex network analysis and can be used for the selection and evaluation of scientific and technol...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/00G06N3/04
CPCG06Q10/0639G06Q50/01G06N3/045
Inventor 黄芳张予琛章成源张金阳吴伟杰
Owner CENT SOUTH UNIV
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