Information Visualization from the Perspective of Big Data Analysis and Fusion

In the big data environment, the visualization technique has been increasingly adopted to mine the data on library and information (L&I), with the diversification of data sources and the growth of data volume. The previous research into the information association of L&I visualization networ...

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Autor principal:	Xiang Lin
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/bcddb49d89f849309170bde274632230
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spelling	oai:doaj.org-article:bcddb49d89f849309170bde2746322302021-11-22T01:09:50ZInformation Visualization from the Perspective of Big Data Analysis and Fusion1875-919X10.1155/2021/8934632https://doaj.org/article/bcddb49d89f849309170bde2746322302021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8934632https://doaj.org/toc/1875-919XIn the big data environment, the visualization technique has been increasingly adopted to mine the data on library and information (L&I), with the diversification of data sources and the growth of data volume. The previous research into the information association of L&I visualization network rarely tries to construct such a network or explore the information association of the network. To overcome these defects, this paper explores the visualization of L&I from the perspective of big data analysis and fusion. Firstly, the authors analyzed the topology of the L&I visualization network and calculated the metrics for the construction of L&I visualization topology map. Next, the importance of meta-paths of the L&I visualization network was calculated. Finally, a complex big data L&I visualization network was established, and the associations between information nodes were analyzed in detail. Experimental results verify the effectiveness of the proposed algorithm.Xiang LinHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer software QA76.75-76.765
spellingShingle	Computer software QA76.75-76.765 Xiang Lin Information Visualization from the Perspective of Big Data Analysis and Fusion
description	In the big data environment, the visualization technique has been increasingly adopted to mine the data on library and information (L&I), with the diversification of data sources and the growth of data volume. The previous research into the information association of L&I visualization network rarely tries to construct such a network or explore the information association of the network. To overcome these defects, this paper explores the visualization of L&I from the perspective of big data analysis and fusion. Firstly, the authors analyzed the topology of the L&I visualization network and calculated the metrics for the construction of L&I visualization topology map. Next, the importance of meta-paths of the L&I visualization network was calculated. Finally, a complex big data L&I visualization network was established, and the associations between information nodes were analyzed in detail. Experimental results verify the effectiveness of the proposed algorithm.
format	article
author	Xiang Lin
author_facet	Xiang Lin
author_sort	Xiang Lin
title	Information Visualization from the Perspective of Big Data Analysis and Fusion
title_short	Information Visualization from the Perspective of Big Data Analysis and Fusion
title_full	Information Visualization from the Perspective of Big Data Analysis and Fusion
title_fullStr	Information Visualization from the Perspective of Big Data Analysis and Fusion
title_full_unstemmed	Information Visualization from the Perspective of Big Data Analysis and Fusion
title_sort	information visualization from the perspective of big data analysis and fusion
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/bcddb49d89f849309170bde274632230
work_keys_str_mv	AT xianglin informationvisualizationfromtheperspectiveofbigdataanalysisandfusion
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Information Visualization from the Perspective of Big Data Analysis and Fusion

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