Journal
JOURNAL OF INFORMETRICS
Volume 12, Issue 1, Pages 271-286Publisher
ELSEVIER
DOI: 10.1016/j.joi.2018.01.006
Keywords
Subject-Action-Object (SAO) structure; Actor-network theory (ANT); Text mining; Technology development trends
Funding
- National Natural Science Foundation of China [71520107005]
- General Program of National Natural Science Foundation of China [71673164]
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This paper proposes an improved Subject-Action-Object (SAO) network-based method for analyzing trends in technology development. It attempts to address shortcomings of the traditional SAO network approach, i.e., when setting Subject, Action and Object as nodes of the network, there may be errors in explaining the relationship between Subject Node and Object Node, and the strength of the relationship between subject and object also cannot be identified. The proposed improved SAO network-based method in this paper includes: (1) a new method for constructing an SAO network based on SAO links that calculate the intensity of the relationship between nodes; (2) a model for identifying technology development trends based on structural holes, changes in the distribution of node degrees, and shifts in network centrality. An empirical study on graphene technology is used to illustrate the validity and feasibility of the proposed method. (C) 2018 Elsevier Ltd. All rights reserved.
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