Global Research Collaboration for Vapour Intrusion

The complexity of the vapour intrusion (VI) transport pathway has received an ever-increased interest worldwide, and an improved and consolidated understanding of the VI issue requires collaboration between international research groups. This study uses the social network analysis methodology, applied to bibliometric authorship for VI research, to discover trends in collaboration, identify lead scientists, organisations, and countries. Furthermore, some of the external factors influencing the collaboration and productivity were assessed. The data suggests that the global research network for VI produced over a time span of 54 years 566 publications via 157 sources. The research network is composed of 437 organisations and 1053 authors from 33 countries. This suggests an increasingly active international collaborative research effort. However, inter-continental cooperation is much less than continental. The top five most central countries in the network are the USA, followed by Canada, China, The Netherlands, and Italy. The researchers with the most publications are from these five countries as well as the top organisations. The social network analysis conducted shows a good approximation of the collaborative structure for the key countries, organisations and researchers involved. Since 2010, the research community has become more stable.

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Visualization of clinical teaching citations using social network analysis

BMC Medical Education ◽

10.1186/s12909-021-02643-6 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Hakimeh Hazrati ◽

Shoaleh Bigdeli ◽

Seyed Kamran Soltani Arabshahi ◽

Vahideh Zarea Gavgani ◽

Nafiseh Vahed

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Research Collaboration ◽

Clinical Teaching ◽

Clustering Coefficient ◽

Knowledge Network ◽

Research Network ◽

Centrality Measures ◽

The Usa

Abstract Background Analyzing the previous research literature in the field of clinical teaching has potential to show the trend and future direction of this field. This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA). Methods We Identified 1229 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed from the year 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. Results Based on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Analysis of background and affiliation of authors showed that co-authorship between clinical researchers in medicine filed is weak. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills. Conclusions In order to improve the cohesion of the authorship network of clinical teaching, it is essential to improve research collaboration and co-authorship between new researchers and those who have better closeness or geodisk path with others, especially those with the clinical background. To reach to a dense and powerful topology in the knowledge network of this field encouraging policies to be made for international and national collaboration between clinicians and clinical teaching specialists. In addition, humanitarian and clinical reasoning need to be considered in clinical teaching as of new direction in the field from thematic aspects.

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Visualization of clinical teaching citations using social network analysis

10.21203/rs.3.rs-51824/v2 ◽

2021 ◽

Author(s):

Hakimeh Hazrati ◽

Shoaleh Bigdeli ◽

Seyed Kamran Soltani Arabshahi ◽

Vahideh Zarea Gavgani ◽

Nafiseh Vahed

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Research Collaboration ◽

Clinical Teaching ◽

Clustering Coefficient ◽

Knowledge Network ◽

Research Network ◽

Centrality Measures ◽

The Usa

Abstract BackgroundAnalyzing the previous research literature in the filed of clinical teaching has potential to show the trend and future direction of this field. This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA).Methods We Identified 1229 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed from the year 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. ResultsBased on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Analysis of background and affiliation of authors showed that co-authorship between clinical researchers in medicine filed is weak. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills.Conclusions In order to improve the cohesion of the authorship network of clinical teaching, it is essential to improve research collaboration and co-authorship between new researchers and those who have better closeness or geodisk path with others, especially those with the clinical background. To reach to a dense and powerful topology in the knowledge network of this field encouraging policies to be made for international and national collaboration between clinicians and clinical teaching specialists. In addition, humanitarian and clinical reasoning need to be considered in clinical teaching as of new direction in the field from thematic aspects.

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Visualization of clinical teaching citations using social network analysis

10.21203/rs.3.rs-51824/v1 ◽

2020 ◽

Author(s):

Hakimeh Hazrati ◽

Shoaleh Bigdeli ◽

Seyed Kamran Soltani Arabshahi ◽

Vahideh Zarea Gavgani ◽

Nafiseh Vahed

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Clinical Teaching ◽

Clustering Coefficient ◽

Research Network ◽

Centrality Measures ◽

Academic Networks ◽

The Usa ◽

The Uk

Abstract Background This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA). Methods We Identified 858 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed. Date of publication was limited to 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. Results Based on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills. Conclusions Co-authorship between clinicians and medical educator specialists need to be strengthened through research development policies, appropriate academic networks and use of encouraging grants. In addition humanitarian and clinical reasoning need to consider in education of clinical teaching to empower the scientific map from thematic aspects.

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RESEARCH COLLABORATION WITHIN A DEPARTMENT OF PEDIATRICS: A SOCIAL NETWORK ANALYSIS OF COAUTHORSHIP PATTERNS

Paediatrics & Child Health ◽

10.1093/pch/pxy054.146 ◽

2018 ◽

Vol 23 (suppl_1) ◽

pp. e58-e58

Author(s):

Kaitlyn Howden ◽

Mark Duffet ◽

Grace Xu ◽

Anthony Chan

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Faculty Member ◽

Research Productivity ◽

Research Collaboration ◽

Faculty Members ◽

H Index ◽

The Social ◽

Number Of Publications

Abstract BACKGROUND Research is a collaborative undertaking. Through collaborators, researchers have access to expertise, experience, and resources which may result in increased research productivity. Social network analysis is a set of techniques that focuses primarily on the patterns and characteristics of relationships among individuals. OBJECTIVES To describe the social network structure —the extent and patterns of collaboration among members — of a department of paediatrics and identify prominent individuals and divisions. DESIGN/METHODS We conducted a social network analysis of coauthorship. We included faculty members in a single department of paediatrics with at least 1 publication. We excluded those with a clinical appointment. We used PubMed to identify publications and Web of Science to obtain the total citations for each publication. RESULTS We included 99 faculty who authored 3 939 publications. The median (Q1, Q3) number of publications per faculty member was 12 (5, 39), ranging from 1 to 478. 83 (80%) of the faculty have coauthored a publication with another faculty member; the median (Q1, Q3) number of collaborators per faculty member was 3 (2, 8) and ranged from 0 to 21. 450 (11%) of publications included more than one faculty member as a coauthor. In the network diagram, 80 (81%) of faculty members were connected by coauthorship to a single large cluster. Neither the number of publications (increase in odds 1.0, 95% CI 1.0–1.1; p = 0.16) or h-index (increase in odds 1.0, 95% CI 1.0-1.0; p = 0.74) was associated with increased odds of a faculty member collaborating with another faculty member. Factors associated with increased odds of any two faculty members collaborating were: being from the same division (increase in odds 5.0, 95% CI 3.9–6.3; p<0.001) and both coauthoring a publication with a common faculty member (increase in odds 4.8, 95% CI 3.8–6.2; p<0.001). Being of different genders or differences in number of publications or h-index was not associated with changes in the odds of collaboration. CONCLUSION Social network analysis of coauthorship can provide insight into the social structure and research collaboration of an academic department. This structure should be considered in efforts to improve collaboration and research productivity.

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The Global Research Collaboration of Network Meta-Analysis: A Social Network Analysis

PLoS ONE ◽

10.1371/journal.pone.0163239 ◽

2016 ◽

Vol 11 (9) ◽

pp. e0163239 ◽

Cited By ~ 13

Author(s):

Lun Li ◽

Ferrán Catalá-López ◽

Adolfo Alonso-Arroyo ◽

Jinhui Tian ◽

Rafael Aleixandre-Benavent ◽

...

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Research Collaboration ◽

Meta Analysis ◽

Global Research

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Duality beyondPersons and Groups

The Oxford Handbook of Social Networks ◽

10.1093/oxfordhb/9780190251765.013.9 ◽

2020 ◽

pp. 391-413

Author(s):

Sophie Mützel ◽

Ronald Breiger

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Network Data ◽

Future Directions ◽

Affiliation Networks ◽

The Social ◽

Recent Developments ◽

Principle Of Duality ◽

Seminal Article

This chapter focuses on the general principle of duality, which was originally introduced by Simmel as the intersection of social circles. In a seminal article, Breiger formalized Simmel’s idea, showing how two-mode types of network data can be transformed into one-mode networks. This formal translation proved to be fundamental for social network analysis, which no longer needed data on who interacted with whom but could work with other types of data. In turn, it also proved fundamental for the analysis of how the social is structured in general, as many relations are dual (e.g. persons and groups, authors and articles, organizations and practices), and are thus susceptible to an analysis according to duality principles. The chapter locates the concept of duality within past and present sociology. It also discusses the use of duality in the analysis of culture as well as in affiliation networks. It closes with recent developments and future directions.

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The Oxford Handbook of Social Networks

10.1093/oxfordhb/9780190251765.001.0001 ◽

2020 ◽

Keyword(s):

Social Networks ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Social Life ◽

Information Science ◽

Computational Social Science ◽

The Social ◽

Diverse Field ◽

The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

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