Coauthor recommending method under scientific and technical literature heterogeneous network

Abstract

The invention discloses a coauthor recommending method under a scientific and technical literature heterogeneous network. Probability that a pair of authors establish a cooperation relationship in the future is in direct proportion to willingness that two nodes establish the cooperation relationship with each other, so that the coauthor recommending based on cooperator willingness is provided, and cooperating authors are recommended to authors by calculating probability that two authors cooperate in the future. The coauthor recommending method includes defining attention degree of the nodes according to future influence increase degree and rate of the nodes and ages of the nodes; designing cooperation willingness of two authors due to different relationships on the basis of the attention degree; designing topological feature attributes under different relationships on the basis of the willingness of different relationships; taking the topological feature attributes as an independent variable of a logic regression model, utilizing parameters of a real data training model, and using an acquired function model to calculate probability that the two authors cooperate in the future. The coauthor recommending method takes willingness of two authors which cooperate into consideration, and the willingness is based on node influence and age, so that prediction results of cooperation relationships are improved, and recommending quality of coauthors of authors is improved.

Description

technical field [0001] The invention provides a method for recommending cooperative authors under a heterogeneous network of scientific and technological documents, which belongs to the field of information retrieval. Background technique [0002] The scientific literature network is a heterogeneous network that contains three types of nodes, the three types of nodes are authors, papers, and journal conferences, and the five types of edges are authoring relationship edges, authored relationship edges, citing relationship edges, and publishing relationship edges , is published relation edge. [0003] At present, the cooperative relationship prediction methods for heterogeneous scientific literature networks are mostly based on statistical information. These statistics do not reflect the willingness of nodes to establish a target relationship with each other. For example, in the literature network, because an ordinary researcher A cites many papers of authoritative researche...

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Problems solved by technology

Therefore, the traditional forecasting method of collaborator relationship is not reasonable.

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