Visualization Analysis of Knowledge Network Research Based on Mapping Knowledge
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Visualization Analysis of Knowledge Network Research Based on Mapping Knowledge Hong Liu 1 & Ying Jiang 2 & Hua Fan 2 & Xin Wang 3 & Kang Zhao 4 Received: 11 July 2020 / Revised: 28 August 2020 / Accepted: 1 September 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract With the acceleration of economic information, networking, globalization and the new technological revolution, more and more scholars abroad have begun to pay attention to the research of knowledge networks. Some scholars even regard knowledge networks as a new field in the field of knowledge management research theoretical paradigm. This paper takes the research literature of knowledge network in Web of Science as the research object, and uses the information visualization software Cite Space, which is the world’s leading information, to visualize the geographical distribution of relevant knowledge networks in the international context by using traditional bibliometric methods and information visualization tools. High-impact authors, core literature, research hotspots for quantitative research and visual analysis, showing the classic literature and research hotspots and frontier fields of international knowledge management research in the form of maps, and analyzing knowledge maps and literature materials, content analysis, and induction The combination of methods and other methods to analyze and summarize the current research status of international knowledge management can provide useful reference for knowledge networks and related research. Keywords Knowledge network . Knowledge map . Research hotspot . Visual analysis
1 Introduction With the development of internet technology, big data information contains a lot of valuable knowledge. Researchers hope to find an effective way to manage knowledge and knowledge maps [1, 2]. In 2012, Google pioneered the concept of knowledge mapping, which is originally used to intelligent search engines. In fact, the knowledge map originated
* Ying Jiang [email protected] Hua Fan [email protected] Xin Wang [email protected] Kang Zhao [email protected] 1
Xi’an Jiaotong University, Xi’an, China
2
State Grid Zhejiang Power Co. Ltd, Jinhua, China
3
State Grid Anhui Power Co. Ltd, Hefei, China
4
NARI Group Co. Ltd, Nanjing, China
from the concept of the semantic web [3, 4], which is essentially a knowledge base with a graph data structure. In the era of knowledge economy, knowledge has become the core resource and key element of organizational development. Knowledge management has been the core content of modern organizational management, which attracted the attention of scholars from different professional fields. Therefore, knowledge network research based on knowledge maps has received more and more attention from the government and academia [5, 6]. Early graph data model is visualized in [7], however, due to the complexity of the structure, the models did not become the basis of the later knowledge maps. In [8], the graph pattern matching query al
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