Multiscale geovisual analysis of knowledge innovation patterns using big scholarly data

Figures & data

Table 1. An example from the collected raw data

Item	Data
Title	Domain-aware multi-truth discovery from conflicting sources
Author	Xueling Lin $\parallel$ Lei Chen
Affiliations	Hong Kong University of Science and Technology, Hong Kong $\parallel$ Hong Kong University of Science and Technology, Hong Kong
Published time	1 January 2018
Domain	Information systems $\parallel$ Information systems applications $\parallel$ Data mining
Domain ID	10002951 $\parallel$ 10002951.10003227 $\parallel$ 10002951.10003227.10003351
URL	https://dl.acm.org/doi/10.1145/3177732.3177739

Figure 1. The visual analytical workflow chaining together four modules: data preprocessing, data modeling, geovisualization and the interactive tool.

Figure 2. The data schema of the restructured scholarly data.

Figure 3. The visualization methods that show the patterns of knowledge innovation with spatial information.

Figure 4. The interface layout of the interactive tool.

Figure 5. The administrative boundaries and location of the Yangtze River Delta (YRD).

Figure 6. Spatiotemporal distribution of institutes that have joint publications with the YRD region.

Table 2. The statistics of the publications and collaborations of the YRD from 2017 to 2019

Statistical items	Year
	2017	2018	2019
Number of internal joint publications within the YRD	611	851	1885
Number of local institutes involved in internal joint publications within the YRD	231	330	475
Number of domestic joint publications	679	802	1227
Number of domestic institutes involved in joint publications outside the YRD	192	239	343
Number of international joint publications	497	561	826
Number of international institutes involved in joint publications	377	419	469

Figure 7. Flow maps showing the number of publications and co-authorship connections between cities in the YRD.

Table 3. Statistics of the academic networks at the city level within the YRD from 2017 to 2019

Statistical items	Year
	2017	2018	2019
The number of the cities involved in publication	22	25	28
The average number of publications in the cities	154.1	173.5	317.8
The median number of publications in the cities	10.5	12	14.5
The standard deviation of number of publications of the cities	324.7	383.8	760.3
The number of city pairs involved in collaborations	27	24	39
The average publications in city-pairs	7.4	11.5	15.0
The median publications in each city-pairs	4	7	5
The standard deviation of publications in city pairs	8.3	12.0	25.0

Figure 8. Histograms illustrating the number of collaborations between cities in the YRD.

Figure 9. Flow maps of international collaborations of the YRD.

Figure 10. A treemap showing the popular domains of the ACM publications in the YRD from 2017 to 2019.

Figure 11. Bar charts showing the spatial distribution of the four selected subdomains in the YRD. AI in red, HCI in purple, LiMS in green and ML in yellow.

Figure 12. The movement of the centroids in the subdomains of AL, HCI, LiMS and ML from 2017 to 2019 in the YRD.

Figure 13. Visual interface of the analysis tool.