scholarly journals Visual Analysis of Research Hot Spots, Characteristics, and Dynamic Evolution of International Competitive Basketball Based on Knowledge Mapping

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402098872
Author(s):  
Cheng Bin ◽  
Chen Weiqi ◽  
Chu Shaoling ◽  
Hu Chunxia
Keyword(s):  
Hot Spots ◽  
Visual Analysis ◽  
Hot Spot ◽  
Basic Research ◽  
Sports Injury ◽  
Research Trend ◽  
Future Research ◽  
Knowledge Map ◽  
Knowledge Mapping ◽  
Research Institutions

A total of 1,207 papers related to competitive basketball research from 1986 to 2019 were retrieved from the Web of Science database. Taking the retrieved papers as research objects, the trend chart, keyword map, and citation map of international competitive basketball research were drawn using the visual software CiteSpaceIII, and the methods of literature review, knowledge map analysis, co-occurrence analysis, citation analysis, and word frequency analysis were used. The research status and hot spots of international competitive basketball in recent 30 years are analyzed, which clarify the research context of foreign competitive basketball, reveal the research trend of international competitive basketball, and provide theoretical reference for future competitive basketball research. The research shows that (a) competitive basketball research lacks influential scientific research institutions and leading figures, and the existing research institutions are in their own way with little cooperation. (b) The hot spots of competitive basketball research are “Competitive performance,” “Gender difference,” “Sports injury,” and so on. Co-occurrence network structure is relatively loose and the density is not high. (c) “Sports injury” has always been the hot spot and frontier of competitive basketball research, from the early rehabilitation basic research aimed at ensuring competitive participation to the fine-grained preventive research centered on “preventing diseases,” and then to the interdisciplinary comprehensive research of electronic science, neuroscience, and brain science. In this process, big data research began to emerge, reflecting the research characteristics of the era of mathematics and intelligence, and also showing the future research trend and development direction of competitive basketball.

Coal Mine Safety Management Researching Situation Analysis Based on Knowledge Map

2014 ◽  
Vol 962-965 ◽  
pp. 1003-1009
Author(s):  
Hong Xia Li ◽  
Long Zhao Zhao
Keyword(s):  
Safety Management ◽  
Hot Spot ◽  
Basic Research ◽  
Development Trend ◽  
Research Field ◽  
Mine Safety ◽  
Published Data ◽  
Knowledge Map ◽  
Knowledge Mapping ◽  
Classical Literature

In order to understand the characteristics and law of development of coal research in the field of safety management, the papers published data from 1993--2013 based on Web of Science database and the Java platform development CitespaceIII visualization software for scientific knowledge map drawing is used. Through the knowledge map visualization analysis, it shows the origin of the research of international coal safety management and foundation of knowledge, and its basic and frontier disciplines. The results show that: through the visual keywords co-occurrence knowledge mapping analysis, high frequency keywords and high degree of heart keyword ranked in the top 10. It also shows the hot spot area and the development trend in the research field of coal safety management; from the literature co-citation results, classical literature and knowledge of basic research on coal safety management field, it plays an important role in the development process of the research in the field of visualization; through the journal co-citation analysis of knowledge map, it gets higher yield and literature journal, such as SAFETY SCI, COAL SCI TECHNOLOGY, CHINA COAL and the like, which shows that in the study of coal safety management field quantity of periodicals, China is the first, which explains China's leading position in the field of safety management of coal.

scholarly journals Research status of human resource management in China based on scientific knowledge map

2021 ◽  
Vol 251 ◽  
pp. 03096
Author(s):  
Kun Qian ◽  
Yingxue Li ◽  
Yuenan Lv ◽  
Xiaonan Yang
Keyword(s):  
Cluster Analysis ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Scientific Knowledge ◽  
Visual Analysis ◽  
Future Research ◽  
Knowledge Map ◽  
Management Research ◽  
And Cluster Analysis

In order to accurately grasp the current research frontier of human resource management, according to certain retrieval conditions, 2724 literatures published from 2011 to 2021 were retrieved from CNKI database as data samples. CiteSpace software was used for visual analysis, CO citation analysis and cluster analysis were carried out on these literature data, and the corresponding knowledge map was drawn. The objective of this paper is to show the hot topics and cutting-edge trends of human resource management research in China and draw the current situation of human resource management research in China, in order to provide reference for future research.

Knowledge mapping of microfinance performance research: a bibliometric analysis

2021 ◽  
Vol 48 (3) ◽  
pp. 399-418
Author(s):  
Shabiha Akter ◽  
Md Hamid Uddin ◽  
Ahmad Hakimi Tajuddin
Keyword(s):  
Financial Performance ◽  
Bibliometric Analysis ◽  
Social Performance ◽  
Credit Scoring ◽  
Basic Research ◽  
Future Research ◽  
Knowledge Mapping ◽  
Microfinance Institutions ◽  
Content Type ◽  
Bibliometric Review

PurposePerformance assessment of microfinance institutions (MFIs) has long been a question of considerable research interest. The dual goals – financial performance and social performance of MFIs widely studied yet remain unsolved in the existing literature. To assess the knowledge structure of research in this area and to aid future research, we review the literature with bibliometric analysis.Design/methodology/approachOur study has used bibliographic data of 1,252 scientific documents indexed in the Scopus database from 1995 to 2020 (June 05). We have used the “bibliometrix” package in R language to analyze the data and illustrate the findings.FindingsWe find that there has been an increasing trend in publications, especially from 2006 onwards. Various bibliometric indicators allow us to follow the progression of knowledge along with identifying the most contributing and impactful authors, publication sources, institutions and countries. We illustrate the major research themes and identify that “poverty alleviations”, “group lending” and “credit scoring” are the major emerging and specialized themes besides the basic research evolved around “microfinance” or “microcredit”. Our further analysis of thematic evolution over different time frames reveals that “financial performance” aspect is getting more attention in recent times in evaluating the performance of MFIs.Originality/valueThe insights of knowledge accumulated from our bibliometric review and thematic analysis provide researchers with an efficient comprehension of the advancement of the research on microfinance performance and offer avenues for future scientific endeavors.

Classifying Knowledge Maps

2011 ◽  
pp. 116-142 ◽  
Author(s):  
Martin J. Eppler
Keyword(s):  
Knowledge Management ◽  
Future Research ◽  
Knowledge Map ◽  
Knowledge Mapping ◽  
Knowledge Maps ◽  
Useful Knowledge ◽  
Types Of Knowledge ◽  
Management Processes ◽  
Research Questions ◽  
Reference Knowledge

This chapter looks at graphic strategies to reference knowledge and to make it more accessible through interactive knowledge maps. It discusses pragmatic ways of classifying knowledge maps to give an overview of their application contexts and formats. In the chapter, we show where and how the term knowledge map has been previously used and which criteria must be met in a sound and useful knowledge map classification that can support knowledge management processes and strategies. Various classification principles are presented and discussed. A table then matches map formats to knowledge management purposes and knowledge-related contents in order to serve as a selection and organizing framework. Examples of some of the main types of knowledge maps are presented to illustrate the varieties of knowledge mapping present in the classification. The article concludes by discussing its limitations and future research questions in the area of knowledge mapping.

scholarly journals Big Data and Digital Aesthetic, Arts, and Cultural Education: Hot Spots of Current Quantitative Research

2019 ◽  
pp. 089443931988845 ◽  
Author(s):  
Alexander Christ ◽  
Marcus Penthin ◽  
Stephan Kröner
Keyword(s):  
Big Data ◽  
Text Mining ◽  
Predictive Modeling ◽  
Hot Spots ◽  
Quantitative Research ◽  
Hot Spot ◽  
Future Research ◽  
Original Research ◽  
Cultural Education ◽  
Data Volume

Systematic reviews are the method of choice to synthesize research evidence. To identify main topics (so-called hot spots) relevant to large corpora of original publications in need of a synthesis, one must address the “three Vs” of big data (volume, velocity, and variety), especially in loosely defined or fragmented disciplines. For this purpose, text mining and predictive modeling are very helpful. Thus, we applied these methods to a compilation of documents related to digitalization in aesthetic, arts, and cultural education, as a prototypical, loosely defined, fragmented discipline, and particularly to quantitative research within it (QRD-ACE). By broadly querying the abstract and citation database Scopus with terms indicative of QRD-ACE, we identified a corpus of N = 55,553 publications for the years 2013–2017. As the result of an iterative approach of text mining, priority screening, and predictive modeling, we identified n = 8,304 potentially relevant publications of which n = 1,666 were included after priority screening. Analysis of the subject distribution of the included publications revealed video games as a first hot spot of QRD-ACE. Topic modeling resulted in aesthetics and cultural activities on social media as a second hot spot, related to 4 of k = 8 identified topics. This way, we were able to identify current hot spots of QRD-ACE by screening less than 15% of the corpus. We discuss implications for harnessing text mining, predictive modeling, and priority screening in future research syntheses and avenues for future original research on QRD-ACE.

scholarly journals Flag and boost theories for hot spot forecasting: An application of NIJ’s Real-Time Crime forecasting algorithm using Colorado Springs crime data

2019 ◽  
Vol 22 (1) ◽  
pp. 4-15
Author(s):  
YongJei Lee ◽  
SooHyun O
Keyword(s):  
Hot Spots ◽  
High Efficiency ◽  
Hot Spot ◽  
State Dependence ◽  
Population Heterogeneity ◽  
Future Research ◽  
Theoretical Frameworks ◽  
Data Set ◽  
Original Algorithm ◽  
Colorado Springs

By operationalizing two theoretical frameworks, we forecast crime hot spots in Colorado Springs. First, we use a population heterogeneity (flag) framework to find places where the hot spot forecasting is consistently successful over months. Second, we use a state dependence (boost) framework of the number of crimes in the periods prior to the forecasted month. This algorithm is implemented in Microsoft Excel®, making it simple to apply and completely transparent. Results shows high accuracy and high efficiency in hot spot forecasting, even if the data set and the type of crime we used in this study were different from what the original algorithm was based on. Results imply that the underlying mechanisms of serious and non-serious crime for forecasting are different from each other. We also find that the spatial patterns of forecasted hot spots are different between calls for service and crime event. Future research should consider both flag and boost theories in hot spot forecasting.

scholarly journals Scientometric Analysis of Dental Implant Research over the Past 10 Years and Future Research Trends

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Xin Huang ◽  
Jin Bai ◽  
Xu Liu ◽  
Zhaosong Meng ◽  
Yuli Shang ◽  
...  
Keyword(s):  
Dental Implants ◽  
Dental Implant ◽  
High Frequency ◽  
Visual Analysis ◽  
Hot Spot ◽  
Research Field ◽  
Future Research ◽  
Scientometric Analysis ◽  
Mesh Terms ◽  
Sinus Floor

Background. We conducted a bibliometrics analysis to explore the recent trends in dental implant research which could help researchers have a clear grasp of the relevant research hotspots and prospects. Material and Methods. Altogether, 15,770 articles on dental implants, from January 1, 2010, to October 31, 2019, were selected from the Web of Science Core Collection. We used BICOMB software to extract the high-frequency MeSH terms and construct binary and coword matrices. gCLUTO software was used for biclustering and visual analysis, Ucinet 6 software for social network analysis, SCIMAT software for strategic diagram building, Citespace 5.5 software to form timeline visualization, and VOSviewer software, eventually, for bibliometrics cocitation network. Results. Altogether, 72 high-frequency keywords were extracted from the selected articles and 4 clusters and 7 subcategories were identified through biclustering analysis in the dental implant research field. The use of the strategic diagram also enabled us to find the research hotspot and development trends. Conclusions. The survival rate of dental implants and subsequent restoration have always been the core focus of research. Sinus floor elevation and guided bone regeneration are worthy of constant exploration owing to their reliability. With continuous improvement in technology, immediate loading could become a future research hot spot.

Mitigation of Hot Spots on Wireless Sensor Networks

2012 ◽  
pp. 206-222
Author(s):  
Fernando Gielow ◽  
Michele Nogueira ◽  
Aldri Santos
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Hot Spots ◽  
Hot Spot ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Future Research ◽  
Traffic Pattern ◽  
Research Perspectives

The use of Wireless Sensor Networks (WSNs) has increased over the past years, supporting applications such as environmental monitoring, security systems, and multimedia streaming. These networks are characterized by a many-to-one traffic pattern. Hence, sensor nodes near to the sink have higher energy consumption, being prone to earlier deaths and failures. Those areas overloaded with high traffic rates are called Hot Spots, and their emergence creates and expands energy holes that compromise network lifetime and data delivery rates, and may result in disconnected areas. This chapter provides an overview of techniques to mitigate Hot Spot impacts, such as the uneven distribution of sensors, routes that balance energy consumption, sink mobility, and the use of unequal clustering. Further, it depicts the approach for achieving mitigation of sink centered Hot Spots. Finally, this chapter presents conclusions and future research perspectives.

The hot spot transformation in the research evolution of internationalization of innovation

2014 ◽  
Vol 5 (1) ◽  
pp. 59-78 ◽  
Author(s):  
Yusen Xu ◽  
Xiaofang Hua
Keyword(s):  
Web Of Science ◽  
Hot Spot ◽  
Developed Countries ◽  
Future Research ◽  
Knowledge Mapping ◽  
Technological Advancement ◽  
Semantic Similarity Measure ◽  
Content Type ◽  
Main Research ◽  
Investment Optimization

Purpose – With the development of economic globalization and the growth of cross-border technology flow, the internationalization of innovation has become an important strategy for enterprises in global competition for both investment optimization and technological advancement. The purpose of this paper is to reveal the research evolution in internationalization of innovation, investigate the hot spot transformation, and predict the future research trends. Design/methodology/approach – The main research approaches in this study are literature co-citation analysis and keyword co-occurrence analysis. Co-citation is applied as a semantic similarity measure for related papers that makes use of citation relationships. Co-occurrence frequency analysis of keywords is also carried out to reveal the hot spots in research of internationalization of innovation. With the data downloaded from Web of Science, Citespace was used as a tool of scientometrics to visualize the node papers, knowledge mapping and keyword co-occurrence ranking in different stages of research evolution. The literature being analyzed in this study come from paper collection by searching the titles, abstracts and keywords, for terms that include “international innovation”, “international R&D”, “international technology”, “globalizational innovation”, “globalizational R&D”, “globalizational technology”, “multinational innovation”, “multinational R&D” and “multinational technology”. Findings – The investigation reveals that there are two distinct stages in research evolution of the internationalization of innovation. The direction of innovation diffusion has turned from “one-way trickle down from developed countries” to “two-way interaction between developed countries and emerging countries”. Meanwhile, the research hotspots have been transformed since 2000 from “detail and operation-focused” to “profound and strategy-focused”. Originality/value – The paper gives an insight into the internationalization of innovation field using literature from the Web of Science as an illustration.

Implementing Electronic Check-In/Check-Out to Reduce Challenging School Bus Behavior

2021 ◽  
pp. 016264342110044
Author(s):  
Brittany Hott ◽  
Kathleen M. Randolph ◽  
Janet Josephson ◽  
Sarah Heiniger
Keyword(s):  
Visual Analysis ◽  
Hot Spot ◽  
Single Case ◽  
Functional Relation ◽  
Case Manager ◽  
Rural Students ◽  
Future Research ◽  
Wireless Internet ◽  
Target Behaviors ◽  
Overlapping Data

The purpose of this study was to explore the efficacy of an electronic check-in, check-out (eCICO) intervention. The district’s case manager (i.e., guidance counselor) implemented the eCICO intervention remotely via FaceTime on an iPad in collaboration with the bus driver who facilitated student wireless internet access to a mobile hot spot. Results of the single-case multiple baseline across behaviors study suggest a functional relation between eCICO and the target bus behaviors of two rural students with emotional and behavioral disabilities. Further, low rates of target behaviors were maintained after eCICO was withdrawn. Implications for implementing eCICO interventions, limitations, and future research directions are discussed. Results of the study are reported using visual analysis, Tau-U, and percentage of non-overlapping data points.

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