Method for predicting author cooperation relation in academic heterogeneous information network

A heterogeneous information network, academic technology, applied in the field of author cooperation relationship prediction, which can solve the problem of not considering the impact, etc.

Inactive Publication Date: 2017-05-31
DALIAN UNIV OF TECH
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Problems solved by technology

However, in the existing technologies, most of the solutions are based on isomorphic information networks, and the prediction methods are based on the similarity of nodes, topology and network content informatio

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  • Method for predicting author cooperation relation in academic heterogeneous information network
  • Method for predicting author cooperation relation in academic heterogeneous information network
  • Method for predicting author cooperation relation in academic heterogeneous information network

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Embodiment Construction

[0041] In order to make the purpose, technical solution and advantages of the present invention clearer, the specific implementation manners of the present invention will be further described in detail below.

[0042] The example of the present invention provides a cooperative prediction method based on meta-path and content information under an academic heterogeneous information network, the method comprising:

[0043] Step 1: According to the real experimental data, select the author pairs that have not cooperated in the past time period, collect their related feature attributes based on meta-path and content information in the past time period, and record whether they will cooperate in the future time period. establish cooperation.

[0044] Adopt APS and DBLP two data sets to verify the present invention, figure 2 and image 3 The network modes used in the operation process of the above two data sets respectively. According to the publication time of each paper, select ...

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Abstract

The invention discloses a method for predicting an author cooperation relation in an academic heterogeneous information network. The problem about author cooperation relation prediction is solved by utilizing a heterogeneous information network close to a real world. The method comprises the following steps: acquiring the topological attribute of the network according to different measurement of a metapath in the constructed academic heterogeneous information network, introducing concepts of temporal dynamics, transfer similarity and author attribute to acquire the content information of the network, combining the topological attribute and the content information to acquire a characteristic space based on the metapath and the content information, and finding the optimum weight of each characteristic attribute according to the obtained characteristic attribute set and by a logical regression algorithm to predict the author cooperation relation. According to the method, the potential cooperation relation of scholars can be excavated by utilizing academic big data, the scholars can be helped to perform efficient scientific research cooperation and know the academic circle of the scholars, and in particular a good prediction effect on high-yield scholars and high-frequency cooperation relation is achieved.

Description

technical field [0001] The invention relates to a method for predicting author cooperation relationship under an academic heterogeneous information network, in particular to a method for predicting cooperation based on meta-path and content information. Background technique [0002] As scientific research is widely carried out in academia and industry, scholars have created a large number of scientific research results in a steady stream, so academic big data came into being. In academic big data, there are different academic subjects and various academic relationships formed between them, among which the cooperative relationship between scholars is the most common and important, especially in the research of interdisciplinary issues, between scholars from different fields The increasing cooperation among enterprises makes the research on the prediction of cooperative relationship more and more important. However, in the existing technologies, most of the solutions are base...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/214
Inventor 夏锋刘鑫童宁兆龙张舒虹王伟
Owner DALIAN UNIV OF TECH
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