Patent Cooperative Patterns and Development Trends of Chinese Construction Enterprises: A Network Analysis

Abstract

Despite the rapid development of Chinese construction industry, there has been little research effort directed towards exploring patent cooperative patterns and evolution trends of construction enterprises, especially from the perspective of the patent development network. This paper extracts implicit collaborative information and introduces Social Network Analysis (SNA) method to conduct the patentometric analysis based on patent data from the “Top 500 Chinese Construction Enterprises” sourced from PatSnap database. The enterprise-enterprise networks and enterprise-university networks are analyzed quantitatively. The results reveal that: 1) there is a rising trend in the number of patents and patentees; 2) state-owned enterprises play a dominant role in patent development; 3) most of patents are classified as International Patent Classification E04G21; 4) the cooperative relationships are mainly within enterprises and their subsidiaries; 5) when enterprises choose to cooperate with universities, in addition to professional qualification, geographical factors should also be considered. Finally, the development and patent evolution trends are discussed. Some useful suggestions are proposed. The contribution lies in: (a) providing a visualization of the implicit collaboration information of patents in Chinese construction enterprises; (b) revealing cooperative patterns of construction enterprises on patents; and (c) providing enterprises some useful suggestions for patent cooperation.

Text Mining-Based Patent Analysis of Bim Application in Construction

“…(1) Density For a given network or graph, the Density (D) is a measure that counts the number of links to other nodes in a directed or undirected network, as shown in Eqns (1) and (2), respectively (Zhong et al, 2019). This measure is a network-level measure for assessing the overall connectivity of a network with N nodes.…”

“…(2) Degree centrality Degree centrality (CD) is a nodal-level centrality measure that measures the number of directed or undirected links that a node has with other nodes in a given network (Zhong et al, 2019). This nodal measure can be calculated using Eqn (3) and can be used to indicate a node's number of connected neighbors in the network.…”

Investimento Tecnológico: limites e impactos no Estado de Alagoas na perspectiva da Indústria 4.0

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