Sustainable, Smart, and Data-Driven Approaches to Urbanism and their Integrative Aspects: A Qualitative Analysis of Long-Lasting Trends

2019 ◽  
pp. 69-93
Author(s):  
Simon Elias Bibri
Keyword(s):  
Qualitative Analysis ◽  
Data Driven

scholarly journals Chinese Interpreting Studies: A data-driven analysis of a dynamic field of enquiry

2015 ◽  
Author(s):  
Ziyun Xu ◽  
Leonid B Pekelis
Keyword(s):  
Qualitative Analysis ◽  
Data Driven ◽  
Theoretical Research ◽  
Theoretical Studies ◽  
Citation Data ◽  
Dynamic Field ◽  
Patterns Of Behavior ◽  
Scientometric Study ◽  
Classic Papers ◽  
Qualitative Analyses

Over the five decades since its beginnings, Chinese Interpreting Studies (CIS) has evolved into a dynamic field of academic enquiry with more than 3,500 scholars and 4,200 publications. Using quantitative and qualitative analysis, this scientometric study delves deep into CIS citation data to examine some of the noteworthy trends and patterns of behavior in the field: how can the field’s progress be quantified by means of citation analysis? Do its authors tend repeatedly to cite ‘classic’ papers or are they more drawn to their colleagues’ latest research? What different effects does the choice of empirical vs. theoretical research have on the use of citations in the various research brackets? The findings show that the field is steadily moving forward with new papers continuously being cited, although a number of influential papers stand out, having received a stream of citations in all the years examined. CIS scholars also have a tendency to cite much older English than Chinese publications across all document types, and empirical research has the greatest influence on the citation behavior of doctoral scholars, while theoretical studies have the largest impact on that of article authors. The goal of this study is to demonstrate the merits of blending quantitative and qualitative analyses to uncover hidden trends.

scholarly journals Geolinguistic complexity in Berber. Structural and algorithmic perspectives

2018 ◽  
Vol 26 (1) ◽  
pp. 33-56
Author(s):  
Mena B. Lafkioui
Keyword(s):  
Qualitative Analysis ◽  
Present Article ◽  
Data Driven ◽  
Levenshtein Distance ◽  
Language Variation And Change ◽  
Internal Factors ◽  
Calculating Method ◽  
Innovation Processes ◽  
Morphological Innovation

Abstract The present article discusses how the combination of structural (qualitative) and algorithmic (quantitative) perspectives provides valuable insights into geolinguistic patterning and variability, and hence testifies to the importance of the integrating approach in addressing geolinguistic complexity. In doing so, it shows how language is constantly modulated in the form of innovations that emerge in structurally layered and causal formations, dictated by a subtle interplay between system-based and system-external properties. A case that accounts for this kind of geolinguistic complexity is provided by this data-driven study on Berber (Afro-asiatic), which shows how certain phonological and morphological innovation processes triggered by the vocalisation of the liquids /r/, /ṛ/, /rr/ and /ṛṛ/ in Rif Berber (North, Northeast, and Northwest Morocco) create language variation and change. Furthermore, the Berber data examined demonstrate the significant role of certain system-internal factors, such as economy and code conformity, in the diffusion of new phonetic, phonological, and morphological items. In order to better understand the intricacy of the various vocalisation phenomena addressed in the study, the results of the qualitative analysis (synchrony and diachrony) are also contrasted with the algorithmic results ensuing from computing geolinguistic distances by means of the Levenshtein distance calculating method with phone strings tokenised in pair-wise alignments (pondered variables).

scholarly journals Chinese Interpreting Studies: A data-driven analysis of a dynamic field of enquiry

2015 ◽  
Author(s):  
Ziyun Xu ◽  
Leonid B Pekelis
Keyword(s):  
Qualitative Analysis ◽  
Data Driven ◽  
Theoretical Research ◽  
Theoretical Studies ◽  
Citation Data ◽  
Dynamic Field ◽  
Patterns Of Behavior ◽  
Scientometric Study ◽  
Classic Papers ◽  
Qualitative Analyses

Over the five decades since its beginnings, Chinese Interpreting Studies (CIS) has evolved into a dynamic field of academic enquiry with more than 3,500 scholars and 4,200 publications. Using quantitative and qualitative analysis, this scientometric study delves deep into CIS citation data to examine some of the noteworthy trends and patterns of behavior in the field: how can the field’s progress be quantified by means of citation analysis? Do its authors tend repeatedly to cite ‘classic’ papers or are they more drawn to their colleagues’ latest research? What different effects does the choice of empirical vs. theoretical research have on the use of citations in the various research brackets? The findings show that the field is steadily moving forward with new papers continuously being cited, although a number of influential papers stand out, having received a stream of citations in all the years examined. CIS scholars also have a tendency to cite much older English than Chinese publications across all document types, and empirical research has the greatest influence on the citation behavior of doctoral scholars, while theoretical studies have the largest impact on that of article authors. The goal of this study is to demonstrate the merits of blending quantitative and qualitative analyses to uncover hidden trends.

scholarly journals Chinese Interpreting Studies: A data-driven analysis of a dynamic field of enquiry

2015 ◽  
Author(s):  
Ziyun Xu ◽  
Leonid B Pekelis
Keyword(s):  
Qualitative Analysis ◽  
Data Driven ◽  
Theoretical Research ◽  
Theoretical Studies ◽  
Citation Data ◽  
Dynamic Field ◽  
Patterns Of Behavior ◽  
Scientometric Study ◽  
Classic Papers ◽  
Qualitative Analyses

Over the five decades since its beginnings, Chinese Interpreting Studies (CIS) has evolved into a dynamic field of academic enquiry with more than 3,500 scholars and 4,200 publications. Using quantitative and qualitative analysis, this scientometric study delves deep into CIS citation data to examine some of the noteworthy trends and patterns of behavior in the field: how can the field’s progress be quantified by means of citation analysis? Do its authors tend repeatedly to cite ‘classic’ papers or are they more drawn to their colleagues’ latest research? What different effects does the choice of empirical vs. theoretical research have on the use of citations in the various research brackets? The findings show that the field is steadily moving forward with new papers continuously being cited, although a number of influential papers stand out, having received a stream of citations in all the years examined. CIS scholars also have a tendency to cite much older English than Chinese publications across all document types, and empirical research has the greatest influence on the citation behavior of doctoral scholars, while theoretical studies have the largest impact on that of article authors. The goal of this study is to demonstrate the merits of blending quantitative and qualitative analyses to uncover hidden trends.

scholarly journals Chinese Interpreting Studies: A data-driven analysis of a dynamic field of enquiry

2015 ◽  
Author(s):  
Ziyun Xu ◽  
Leonid B Pekelis
Keyword(s):  
Qualitative Analysis ◽  
Data Driven ◽  
Theoretical Research ◽  
Theoretical Studies ◽  
Citation Data ◽  
Dynamic Field ◽  
Patterns Of Behavior ◽  
Scientometric Study ◽  
Classic Papers ◽  
Qualitative Analyses

Over the five decades since its beginnings, Chinese Interpreting Studies (CIS) has evolved into a dynamic field of academic enquiry with more than 3,500 scholars and 4,200 publications. Using quantitative and qualitative analysis, this scientometric study delves deep into CIS citation data to examine some of the noteworthy trends and patterns of behavior in the field: how can the field’s progress be quantified by means of citation analysis? Do its authors tend repeatedly to cite ‘classic’ papers or are they more drawn to their colleagues’ latest research? What different effects does the choice of empirical vs. theoretical research have on the use of citations in the various research brackets? The findings show that the field is steadily moving forward with new papers continuously being cited, although a number of influential papers stand out, having received a stream of citations in all the years examined. CIS scholars also have a tendency to cite much older English than Chinese publications across all document types, and empirical research has the greatest influence on the citation behavior of doctoral scholars, while theoretical studies have the largest impact on that of article authors. The goal of this study is to demonstrate the merits of blending quantitative and qualitative analyses to uncover hidden trends.

scholarly journals Big data driven COVID-19 pandemic crisis management: Potential approach for global health

2021 ◽  
Author(s):  
Yang Lv ◽  
Chenwei Ma ◽  
Xiaohan Li ◽  
Min Wu
Keyword(s):  
Systematic Review ◽  
Big Data ◽  
Virus Infection ◽  
Global Health ◽  
Qualitative Analysis ◽  
Crisis Management ◽  
Data Driven ◽  
Potential Approach ◽  
Genetic Modifications ◽  
Big Data Technologies

IntroductionThis study aims to explore the potential of big data technologies for controlling COVID-19 transmission and managing effectively.Material and methodsA systematic review guided by PRISMA guidelines has been followed to obtain the key elements.ResultsThis study identified the most relevant 32 documents for qualitative analysis. It also reveals 10 possible sources and 8 key applications of big data for analyzing the virus infection trend, transmission pattern, virus association, and differences of genetic modifications.ConclusionsThe findings will provide new insight and help policymakers, and administrators to develop data-driven initiatives to tackle and manage the COVID-19 crisis.

scholarly journals Chinese Interpreting Studies: a data-driven analysis of a dynamic field of enquiry

PeerJ ◽  
2015 ◽  
Vol 3 ◽  
pp. e1249 ◽  
Author(s):  
Ziyun Xu ◽  
Leonid Pekelis
Keyword(s):  
Qualitative Analysis ◽  
Data Driven ◽  
Theoretical Research ◽  
Theoretical Studies ◽  
Citation Data ◽  
Dynamic Field ◽  
Patterns Of Behavior ◽  
Scientometric Study ◽  
Classic Papers ◽  
Qualitative Analyses

Over the five decades since its beginnings, Chinese Interpreting Studies (CIS) has evolved into a dynamic field of academic enquiry with more than 3,500 scholars and 4,200 publications. Using quantitative and qualitative analysis, this scientometric study delves deep into CIS citation data to examine some of the noteworthy trends and patterns of behavior in the field: how can the field’s progress be quantified by means of citation analysis? Do its authors tend repeatedly to cite ‘classic’ papers or are they more drawn to their colleagues’ latest research? What different effects does the choice of empirical vs. theoretical research have on the use of citations in the various research brackets? The findings show that the field is steadily moving forward with new papers continuously being cited, although a number of influential papers stand out, having received a stream of citations in all the years examined. CIS scholars also have a tendency to cite much older English than Chinese publications across all document types, and empirical research has the greatest influence on the citation behavior of doctoral scholars, while theoretical studies have the largest impact on that of article authors. The goal of this study is to demonstrate the merits of blending quantitative and qualitative analyses to uncover hidden trends.

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