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Construction Management

Exploring research trends and network characteristics in construction automation and robotics based on keyword network analysis

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Pages 442-457 | Received 29 Jan 2020, Accepted 16 Jul 2020, Published online: 05 Aug 2020

Figures & data

Figure 1. Keyword co-occurrence matrix using the cosine coefficient

Figure 1. Keyword co-occurrence matrix using the cosine coefficient

Table 1. Basic statistics on the whole keyword network

Figure 2. Cumulative degree distribution of the keyword network

Figure 2. Cumulative degree distribution of the keyword network

Figure 3. Correlation between the keyword frequency and centrality indicators: (a) Correlation between frequency and degree centrality, (b) Correlation between frequency and betweenness centrality, and (c) Correlation between degree and betweenness centrality

Figure 3. Correlation between the keyword frequency and centrality indicators: (a) Correlation between frequency and degree centrality, (b) Correlation between frequency and betweenness centrality, and (c) Correlation between degree and betweenness centrality

Table 2. Important keywords in the field of construction automation and robotics

Table 3. Important keywords from 2014 to 2016

Table 4. Comparison of important keywords by region

Table 5. Classification of CEM categories and their representative keywords

Figure 4. Changes in CEM research based on A&RT over time

Figure 4. Changes in CEM research based on A&RT over time

Figure 5. Changes in the proportion of technology-related keywords over time: (a) Group I, (b) Group II, and (c) Group III

Figure 5. Changes in the proportion of technology-related keywords over time: (a) Group I, (b) Group II, and (c) Group III

Figure 6. Association rules between CEM areas and technology-related keywords

Figure 6. Association rules between CEM areas and technology-related keywords

Figure 7. Major association rules between technology-related keywords

Figure 7. Major association rules between technology-related keywords