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An analysis framework of research frontiers based on the large‐scale open academic graph
Author(s) -
Huang Han,
Wang Hongyu,
Wang Xiaoguang
Publication year - 2020
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.307
Subject(s) - computer science , data science , graph , open research , frontier , power graph analysis , knowledge graph , graph theory , theoretical computer science , artificial intelligence , world wide web , mathematics , political science , combinatorics , law
As a high‐quality and well‐structured dataset, the large‐scale open academic graph formed under the influence of the open science movement has created new research conditions for research frontier analysis. Constructing the analysis framework of research frontiers based on the large‐scale open academic graph can effectively promote the realization of data‐driven knowledge discovery and the analysis and decision‐making of sci‐tech intelligence. The definition and analysis methods of research frontiers were summarized through related studies, and the data structure of the specific open academic graph was investigated. The thoughts and steps of research frontier analysis based on the open academic graph were put forward, and an available analysis framework of research frontiers based on the large‐scale open academic graph was constructed. The proposed framework can achieve deep, relevant and dynamic analysis of research frontiers in various disciplines based on the emerging large‐scale open academic graph. It will provide a novel perspective for performing dynamic analysis across time and space, multidimensional analysis under multiple factors, and multiscale evolution analysis of research frontiers.