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Method for predicting anchor link relationship between literature networks suitable for DBLP and arXiv

A prediction method and anchor link technology, applied in the field of information retrieval, can solve problems such as time-consuming and difficult to measure rationality

Active Publication Date: 2019-07-30
FUZHOU UNIVERSITY
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Problems solved by technology

However, in practical applications, for a network containing a large number of nodes such as a literature network, it takes a lot of time to calculate the simple pairwise matching one by one, and it is difficult to measure the rationality of the threshold selection.

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  • Method for predicting anchor link relationship between literature networks suitable for DBLP and arXiv
  • Method for predicting anchor link relationship between literature networks suitable for DBLP and arXiv
  • Method for predicting anchor link relationship between literature networks suitable for DBLP and arXiv

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Embodiment Construction

[0076] The technical solution of the present invention will be described in detail below in conjunction with the drawings.

[0077] The present invention provides a method for predicting the anchor link relationship between DBLP and arXiv, such as figure 1 As shown, including the following steps:

[0078] Step S1. Obtain arXiv preprint network and DBLP document network, denoted as G 1 , G 2 , And the corresponding paper node sets are V 1 And V 2 ;

[0079] Step S2, V 1 And V 2 The nodes in the feature representation, such as figure 2 Shown

[0080] Step S3, adopt local sensitive hash pair V 1 And V 2 Align the nodes in;

[0081] Step S4. For network G 1 Node in Find the candidate anchor node set P 1 ;

[0082] Step S5. For network G 2 Node in Find the candidate anchor node set P 2 ;

[0083] Step S6, calculation belongs to P 1 With P 2 The similarity between the pairs of nodes, obtain a similarity sparse matrix Sim;

[0084] Step S7, use the P obtained in step S4 1 , P obtained in step...

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Abstract

The invention relates to a method for predicting an anchor link relationship between literature networks suitable for DBLP and arXiv. The method comprises the following steps: firstly, representing paper nodes in a DBLP and arXiv imprint network by adopting a method based on structural features and fusing attribute features; constructing a sparse weighted bipartite graph of an anchor node throughlocal sensitive hashing, and finally obtaining a final predicted anchor link set through redundant link trimming. According to the method provided by the invention, the DBLP literature network can bealigned with the arXiv imprint network, information from different literature networks is fused, more comprehensive information of network nodes is obtained, and a more complete prediction result is obtained in relation prediction of the literature network.

Description

Technical field [0001] The invention relates to the field of information retrieval, in particular to a method for predicting the anchor link relationship between DBLP and arXiv document networks. Background technique [0002] With the popularization of preprint networks in various disciplines, various needs of users when using them have been born. For example, recommend a suitable conference or journal for a preprint that has not been officially published; find a suitable reviewer for a preprint of a manuscript to be reviewed; find other latest preprints that may be of interest to scholars, and so on. The recommendation problem in the literature network is essentially a relationship prediction problem in network science research. [0003] Limited to the incomplete information of a single document network such as arXiv, the relationship prediction results within a single document network have great limitations. For example, when recommending citations for authors in the field of d...

Claims

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Application Information

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IPC IPC(8): G06F16/955G06F16/958
CPCG06F16/9558G06F16/958
Inventor 王秀余春艳陈璐
Owner FUZHOU UNIVERSITY
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