Research development of Bitcoin: a network and concept linking analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chien-wen Shen ◽  
Li-chin Chang ◽  
Tzu-chuan Su
Keyword(s):  
Network Analysis ◽  
Bibliometric Analysis ◽  
Design Methodology ◽  
Holistic Approach ◽  
Integrated Approach ◽  
Development Trend ◽  
Relevant Research ◽  
Electronic Money ◽  
Content Type ◽  
The Development Trend

PurposeThis study aims to provide researchers a holistic approach for comprehensive understanding of the Bitcoin-related research by discovering its trends, subjects, relations, keywords and concepts.Design/methodology/approachAn integrated approach of bibliometric analysis, network analysis and concept linking analysis was proposed for exploring Bitcoin-related studies from 70 countries in the Scopus database.FindingsThe bibliometric analysis shows that electronic money and blockchain are the mainstream issues of Bitcoin, and the domain distribution of the literature is mainly in engineering-related fields. Through the network analysis of cocitations, co-occurrences and cowords, research clusters were discovered respectively from different perspectives. The authors also have mastered a multilevel concept linking diagram for six related major concepts.Originality/valueThe major contribution of this research is about providing an integrated and comprehensive approach to extract the mainstream issues that can help researchers conduct Bitcoin-relevant research. This study shows the development trend, context and clusters of Bitcoin-related studies from various perspectives networks and produces a visual concept linking diagram that will enable researchers to quickly understand the contextual relationship between Bitcoin keywords during literature analysis. In addition, the most crucial studies in the main topics are extracted to save the considerable time and labor that would be required to manually read all the literature and summarize the issues.

scholarly journals Opportunities and challenges of using socially intelligent agents: increasing interaction and school participation for children suffering from a long-term illness

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eva Mårell-Olsson ◽  
Thomas Mejtoft ◽  
Sofia Tovedal ◽  
Ulrik Söderström
Keyword(s):  
Intelligent Agents ◽  
Design Methodology ◽  
Holistic Approach ◽  
Negative Effects ◽  
Content Type ◽  
Medical Needs ◽  
Societal Benefits ◽  
School Participation

PurposeChildren suffering from cancer or cardiovascular disease, who need extended periods of treatment in hospitals, are subjected to multiple hardships apart from the physical implications, for example, experienced isolation and disrupted social and academic development. This has negative effects long after the child's recovery from the illness. The purpose of this paper is to examine the non-medical needs of children suffering from a long-term illness, as well as research the field of artificial intelligence (AI) – more specifically, the use of socially intelligent agents (SIAs) – in order to study how technology can enhance children's interaction, participation and quality of life.Design/methodology/approachInterviews were performed with experts in three fields: housing manager for hospitalized children, a professor in computing science and researcher in AI, and an engineer and developer at a tech company.FindingsIt is important for children to be able to take control of the narrative by using an SIA to support the documentation of their period of illness, for example. This could serve as a way of processing emotions, documenting educational development or keeping a reference for later in life. The findings also show that the societal benefits of AI include automating mundane tasks and recognizing patterns.Originality/valueThe originality of this study concerns the holistic approach of increasing the knowledge and understanding of these children's specific needs and challenges, particularly regarding their participation and interaction with teachers and friends at school, using an SIA.

Flash translation layer: a review and bibliometric analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuhan Luo ◽  
Mingwei Lin
Keyword(s):  
Structural Characteristics ◽  
Development Trend ◽  
Comprehensive Analysis ◽  
Content Type ◽  
Fundamental Information ◽  
New Ideas ◽  
The Development Trend ◽  
The Relationship ◽  
Research Hotspots

PurposeThe purpose of this paper is to make an overview of 474 publications and 512 patents of FTL from 1987 to 2020 in order to provide a conclusive and comprehensive analysis for researchers in this field, as well as a preliminary knowledge of FTL for interested researchers.Design/methodology/approachFirstly, the FTL algorithms are classified and its functions are introduced in detail. Secondly, the structures of the publications are analyzed in terms of the fundamental information and the publication of the most productive countries/regions, institutions and authors. After that, co-citation networks of institutions, authors and papers illustrated by VOS Viewer are given to show the relationship among those and the most influential of them is further analyzed. Then, the characteristics of the patent are analyzed based on the basic information and classification of the patent and the most productive inventors. In order to obtain research hotspots and trends in this field, the time-line review and citation burst detection of keywords carried out by Cite Space are made to be visual. Finally, based on the above analysis, it draws some other important conclusions and the development trend of this field.FindingsThe research on FTL algorithm is still the top priority in the future, and how to improve the performance of SSD in the era of big data is one of the research hotspots.Research limitations/implicationsThis paper makes a comprehensive analysis of FTL with the method of bibliometrics, and it is valuable for researchers can quickly grasp the hotspots in this area.Originality/valueThis article draws the structural characteristics of the publications in this field and summarizes the research hotspots and trends in this field in recent years, aiming to inspire new ideas for researchers.

Destination food research: a bibliometric citation review (2000–2018)

2020 ◽  
Vol 122 (6) ◽  
pp. 2045-2057 ◽  
Author(s):  
Venessa Chan Lyu ◽  
Ivan K.W. Lai ◽  
Hiram Ting ◽  
Hongfeng Zhang
Keyword(s):  
Network Analysis ◽  
Bibliometric Analysis ◽  
Citation Network ◽  
Content Type ◽  
Reference Guide ◽  
Food Research ◽  
Core Content ◽  
Knowledge Infrastructure ◽  
Food Knowledge ◽  
Citation Network Analysis

PurposeThe purpose of this paper is to explore the knowledge infrastructure of destination food research based on a systematic literature review. This bibliometric analysis involves authors, institutions, countries and co-citation networks and discloses trending developments in the field.Design/methodology/approachThis study is based on 176 articles published in hospitality and tourism journals during the period 2000–2018 and bibliometric data downloaded from the ISI Web of Science. This review applies bibliometric analysis, citation network analysis and content analysis to examine the structure and networks of destination food knowledge so as to provide destination food researchers with a reference guide to the context, methods and focus of previous studies.FindingsThe findings demonstrate the development and trends of destination food research. This is the first study to address the limitations of prior systematic literature reviews by applying network analysis to reveal the interrelated structures and properties of the destination food research domain.Practical implicationsPractitioners can also discover trends in the design of development strategies, as well as identify extended themes that may be integrated with research in the field of destination food at present.Originality/valueAs a summary of key characteristics, this report is a useful reference guide to previous studies for researchers. This study presents core content about the destination food field and identifies development trends within destination food research. Based on the results, further research directions are provided.

A bibliometric analysis of research on entrepreneurial intentions from 2000 to 2018

2019 ◽  
Vol 21 (2) ◽  
pp. 180-199 ◽  
Author(s):  
Shivam Dolhey
Keyword(s):  
Bibliometric Analysis ◽  
Design Methodology ◽  
Large Data ◽  
Entrepreneurial Intentions ◽  
Future Research ◽  
Content Type ◽  
The Usa ◽  
Competing Models ◽  
The University ◽  
Year 2000

Purpose The purpose of this study is to provide a bibliometric analysis of the research on entrepreneurial intentions. A total of 1,393 papers published from the year 2000 to 2018 are analysed. The study attempts to identify the significant journals in this area, years with the maximum publication, most cited papers, important authors and most prolific countries and institutions. Then, the co-authorship network map, inter-country co-authorship network map and keyword co-occurrences network maps are provided. Design/methodology/approach The Scopus database was used for analysing the large data about various papers included in this study. Then, the VOSviewer software was used for creating a co-authorship network map, inter-country co-authorship network map and keywords co-occurrences network maps. Findings The results of this study indicate that in the year 2017, the maximum papers have been published, the most significant journal is International Journal of Entrepreneurship and Small Business and the most cited paper is about competing models of entrepreneurial intentions. Furthermore, the most prominent author is Francisco Linan, and the most prolific country and institution are the USA and the University of Seville (Spain), respectively. Originality/value This study contributes to the existing literature on entrepreneurial intentions. A much comprehensive and reliable picture of this area is provided using the bibliometric techniques. The results can help in guiding the authors interested in conducting future research on this topic.

The relationship and development trend of corporate social responsibility (CSR) literature

2019 ◽  
Vol 58 (4) ◽  
pp. 601-624 ◽  
Author(s):  
Yu-Cheng Lin ◽  
Roni Padliansyah ◽  
Tzu-Chiang Lin
Keyword(s):  
Design Methodology ◽  
Recent Trend ◽  
Knowledge Structure ◽  
Development Trend ◽  
Research Field ◽  
Research Topics ◽  
Content Type ◽  
English Speaking ◽  
Corporate Social ◽  
The Relationship

Purpose The purpose of this paper is to provide a comprehensive view of the longitudinal status and the knowledge structure of the CSR research by identifying the major study topics, the development of CSR research, the leading authors and countries, as well as the most cited reference. Design/methodology/approach The authors systematically reviewed 14,490 articles in 15 journals specialized in CSR published between 2000 and 2016 with bibliographic coupling analysis and social network analysis to unveil the recent trend of CSR research. Findings The results identified 15 research topics in CSR research. This study accordingly suggests that CSR implication is the most popular topic in the CSR research field. Particularly, the publications regarding to “CSR Implication” increased with a dramatic trend. Furthermore, the rest of the 14 topics had a stagnant trend movement. Most of the leading authors of CSR research came from English-speaking countries. CSR investigations with varied topics simultaneously attracted the attentions of researchers from developed counties. On the other hand, researchers from developing countries simply focused limited issue. Originality/value This study proposes an automatic content analysis from scientometric perspective to reveal a comprehensive and longitudinal understanding of CSR research. Such examination on CSR studies is critical to afford researchers’ urgent need to grasp current research status and potential research space.

Influencer identification in Twitter networks of destination marketing organizations

2017 ◽  
Vol 8 (2) ◽  
pp. 205-219 ◽  
Author(s):  
Jane F. Bokunewicz ◽  
Jason Shulman
Keyword(s):  
Network Analysis ◽  
Design Methodology ◽  
Brand Awareness ◽  
Destination Marketing ◽  
Network Data ◽  
Strategic Partnerships ◽  
Content Type ◽  
Special Events ◽  
Us Cities ◽  
Practical Implications

Purpose Destination marketing organizations (DMOs) use Twitter to promote attractions and special events and to build brand awareness. Tweets of a DMO spread through a complex network of connected accounts. Some of these are more influential than others due to their position within the network. This paper aims to use a network analysis of 14 DMOs to identify the categories of influencers that have the greatest reach. Design/methodology/approach NodeXL was used to download and analyze network data from Twitter during July 2016 for a collection of DMOs promoting US cities. Accounts in the networks were ranked using several measures of relative influence such as the number of times the accounts mentioned/retweeted others or were mentioned in posts about the DMO. The most influential accounts in the network were identified and coded by category. Findings Media, promotional accounts and those of individuals were determined to be influential by each metric considered. Stakeholders such as hotels and restaurants occupy positions of low importance in the networks and generally do not capitalize on opportunities provided by the DMOs. Practical implications DMOs can seek out strategic partnerships with key influencers to maximize their effectiveness. Additionally, stakeholders can improve their Twitter presence by interacting with the DMOs and other influential accounts. Originality/value This paper identifies influencers that can aid in DMOs’ marketing campaigns. It also presents a methodology that can monitor the effectiveness of such campaigns, something absent in the current literature.

scholarly journals Network analysis: emergence, criticism and recent trends

2019 ◽  
Vol 54 (4) ◽  
pp. 533-547 ◽  
Author(s):  
Charles Kirschbaum
Keyword(s):  
Social Capital ◽  
Network Analysis ◽  
Design Methodology ◽  
Social Ties ◽  
Research Area ◽  
Organizational Studies ◽  
Content Type ◽  
Future Studies ◽  
Recent Trends

Purpose Network analysis is a well consolidated research area in several disciplines. Within management and organizational studies, network scholars consolidated a set of research practices that allowed ease of data collection, high inter case comparability, establishment of nomological laws and commitment to social capital motivation. This paper aims to elicit the criticism it has received and highlight the unsettled lacunae. Design/methodology/approach This paper sheds light on Network Analysis’s breakthroughs, while showing how its scholars innovated by responding to critics, and identifying outstanding debates. Findings The paper identifies and discusses three streams of criticism that are still outstanding: the role of human agency, the meaning of social ties and the treatment of temporality. Originality/value This paper brings to fore current debates within the Network Analysis community, highlighting areas where future studies might contribute.

Navigating turbulent times with a smart knowledge strategy

2017 ◽  
Vol 33 (8) ◽  
pp. 14-16
Keyword(s):  
Case Studies ◽  
Current Literature ◽  
Design Methodology ◽  
Reading Time ◽  
Integrated Approach ◽  
Content Type ◽  
Knowledge Strategy ◽  
Turbulent Times ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings The study provides a critical reading of the current literature. Also, it proposes an integrated approach that sees planning as a continuous effort of learning and adapting to needs and opportunities that dynamically emerge from daily practices. Practical implications The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Publication trends in library and information science

2014 ◽  
Vol 35 (3) ◽  
pp. 134-149 ◽  
Author(s):  
K.P. Singh ◽  
Harish Chander
Keyword(s):  
Bibliometric Analysis ◽  
Design Methodology ◽  
Information Science ◽  
Library And Information Science ◽  
Journal Articles ◽  
Publication Trends ◽  
Citation Pattern ◽  
Authorship Pattern ◽  
Content Type ◽  
Library Management

Purpose – The purpose of the study is to explore the publication trends of the scholarly journal Library Management, and highlight its various important aspects. Design/methodology/approach – The paper presents results of bibliometric analysis of 336 articles which were published during the period 2006-2012, in the Library Management journal of Emerald. Findings – The results indicate that the majority of the contributions by single authors and most cited documents are journal articles. The study highlights the chronological distribution of articles, authorship pattern, geographical distribution of authors, institutions wise distribution, citation pattern and length of articles. Originality/value – As yet there have been no such studies conducted that investigate the various aspects of Library Management journal. It evaluates the publication trends of the journal and has important implications for scholars and researchers.

scholarly journals BibeR: A Web-based tool for bibliometric analysis in scientific literature

2016 ◽  
Author(s):  
Yang Liu ◽  
Meng Li
Keyword(s):  
Statistical Method ◽  
Bibliometric Analysis ◽  
Programming Language ◽  
Scientific Literature ◽  
Development Trend ◽  
Scientific Activity ◽  
Statistical Computing ◽  
Web Based ◽  
The Development Trend ◽  
Research Domain

Bibliometric analysis is a statistical method to summarize the amount of scientific activity in a domain. Insights can be derived from bibliometrics to understand the development trend of the research domain. R is an open sourced programming language specialized for statistical computing and graphic visualization. To benefit from the convenience of R and the outcome of bibliometric analysis, we here introduce BibeR, a web-based application for the visualization of bibliometric analysis. An example of bibliometric analysis on the articles published in journal Scientometrics is used to illustrate the usage of BibeR. The development of BibeR is still in progress, and future possibly improvements on BibeR are discussed.

Sign in / Sign up

Export Citation Format

Share Document