Path of excellence: A co-authorship network analysis of European Research Council grant winners in social sciences.

The international scientific community puts an ever-growing emphasis on research excellence and performance evaluation. So does the European Union with its flagship research excellence grant scheme organised by the European Research Council. This paper aims to provide an in-depth analysis of one of the ERC's thematic panels within the social sciences, namely the SH2 "Political Science" panel. The analysis is based on empirical, statistical methods, and network analysis tools to gain insights about the grant winners' publication patterns and their coauthor networks. The results draw up an academic career track of the grantees based on quantitative publication patterns and performance. Besides, a change in authorship can be observed, which is proven by the formation of new groups and intensifying intra-group collaboration patterns in the case of all three grant types. However, the ERC grant serves different functions for the winners of three different categories: for the Starting Grant winners, it offers the possibility to kick off and establish their research group, for the Consolidator Grant winners, it opens up new opportunities to extend their co-authorship network, and for the Advanced Grant winners, it offers the chance to start a new collaboration.

Alcohol, cardiovascular disease and industry funding: A co-authorship network analysis of epidemiological studies.

INTRODUCTION: Alcohol's effects on cardiovascular disease (CVD) are controversial. Alcohol industry actors have shown particular interest in this subject, and been extensively involved through research funding, and in other ways, generating concerns about bias, particularly in reviews. MATERIAL & METHODS: We conducted a co-authorship network analysis of the primary studies included within a previous co-authorship study of 60 systematic reviews on the impact of alcohol on CVD. Additionally, we examined the relationships between declared alcohol industry funding and network structure. RESULTS: There were 713 unique primary studies with 2832 authors published between 1969 and 2019 located within 229 co-authorship subnetworks. There was industry funding across subnetworks and approximately 8% of all papers declared industry funding. The largest subnetwork dominated, comprising 43% of all authors, with sparse evidence of substantial industry funding. The second largest subnetwork contained approximately 4% of all authors, with largely different industry funders involved. Harvard affiliated authors who at the review level formed co-authorship subnetworks with industry funded authors were seen at the primary study level to belong to the largest epidemiological subnetwork. A small number of key authors make extensive alcohol industry funding declarations. CONCLUSIONS: There was no straightforward relationship between co-authorship network formation and alcohol industry funding of epidemiological studies on alcohol and CVD. More fine-grained attention to patterns of alcohol industry funding and to key nodes may shed further light on how far industry funding may be responsible for conflicting findings on alcohol and CVD.

Sustainable management of food waste; pre-treatment strategies, techno-economic assessment, bibliometric analysis, and potential utilizations: A systematic review.

Food waste (FW) contains many nutritional components such as proteins, lipids, fats, polysaccharides, carbohydrates, and metal ions, which can be reused in some processes to produce value-added products. Furthermore, FW can be converted into biogas, biohydrogen, and biodiesel, and this type of green energy can be used as an alternative to nonrenewable fuel and reduce reliance on fossil fuel sources. It has been demonstrated in many reports that at the laboratory scale production of biochemicals using FW is as good as pure carbon sources. The goal of this paper is to review approaches used globally to promote turning FW into useable products and green energy. In this context, the present review article highlights deeply in a transdisciplinary manner the sources, types, impacts, characteristics, pre-treatment strategies, and potential management of FW into value-added products. We find that FW could be upcycled into different valuable products such as eco-friendly green fuels, organic acids, bioplastics, enzymes, fertilizers, char, and single-cell protein, after the suitable pre-treatment method. The results confirmed the technical feasibility of all the reviewed transformation processes of FW. Furthermore, life cycle and techno-economic assessment studies regarding the socio-economic, environmental, and engineering aspects of FW management are discussed. The reviewed articles showed that energy recovery from FW in various forms is economically feasible.

Social network analysis of biomedical research growth at a primarily undergraduate institution.

The National Institutes of Health Institutional Development Award Programs support the establishment and growth of biomedical research infrastructure in states that receive a low level of federal funding for biomedical research. The purpose of this investigation was to analyze the growth in research productivity over time. This program fostered an environment in which a biomedical research program could be developed and allowed to grow at Boise State University, a primarily undergraduate institution. The growth of the biomedical research community can be visualized through social network analysis.

The scientific productions in Iranian biomedical ethics: A combined study of bibliometrics and social network analysis.

This study aims at increasing our understanding of the research activities of Iranian researchers and institutions in the field of biomedical ethics from 1995 to 2015. A combination of bibliometrics and social network analysis was used to examine the bibliographic data of 580 documents published on Iranian biomedical ethics in Web of Science and Scopus databases to investigate the publication trend, scientific impact, subject keywords network, and social network analysis indicators for international and cross-institutional co-authorship networks. The results showed that the publication of documents has had a consistent and increasing growth and that the citation trend has grown along with it. The analysis of thematic clusters by keyword co-occurrence network shows that Iranian biomedical ethics research has dealt with various topics and that has introduced different research directions. Researchers from 28 countries were identified in the international collaboration network. The main partners of Iranian researchers were from the US (17.8%) and the UK (9.2%). However, there is a tendency to develop and complete cooperation with researchers from different countries. The cross-institutional collaboration network comprises of 63 institutes, of which Tehran University of Medical Sciences (38%), Shahid Beheshti University of Medical Sciences (11%) and Shiraz University of Medical Sciences (7%) have the largest share in publishing documents. The superiority of the first two universities based on centralization indicators in the cross-institutional collaboration network has caused the exchange of cross-network knowledge between and via these players. The network density indicator shows that almost half of the co-authorship links within the international collaboration network and 8% of the co-authorship links within the cross-institutional collaboration network have been implemented and that these networks are not very coherent.

Analysis of the intellectual and social structure of health system response plan to earthquake studies adopting word co-occurrence and narrative approaches.

BACKGROUND AND AIM: Earthquake is a natural disaster severely affecting the societies' health, hygiene, and welfare as such the most effective method to respond to its damages is to develop a readiness plan. This study aimed to discover thematic patterns and co-author relationships extracted from relevant publications to plan an earthquake response. MATERIALS AND METHODS: This descriptive-analytical study adopted the scientometric approach and used word co-occurrence and social network analysis. The published articles indexed in PubMed were retrieved from 1970 to 2021 using a combination of keywords "earthquake and response." The data were analyzed in VOSviewer, UCINET, and NetDraw software. RESULTS: The following six thematic clusters with a social map were extracted: Initial response of the healthcare system, response to probabilistic risks after the hazard, response to mental health and community resilience, response to public health, response to post-traumatic stress disorders, and staff's response to the needs assessment and continuity of diagnostic treatment services. Moreover, social network analysis revealed the great impact of Japanese and Chinese authors and institutes. CONCLUSION: The present study detected many gaps in the literature on earthquake response, which can contribute to developing a general framework to prepare integrated healthcare earthquake response plans to promote the performance of this system.

Study of Cyberbullying among Adolescents in Recent Years: A Bibliometric Analysis.

In recent years, cyberbullying has been recognized as a severe public health problem and is drawing growing interest. The objective of this study was to perform a bibliometric analysis of the scientific production on adolescent cyberbullying in the last decade. A search for publications was made in the Web of Science database, where the 1530 documents identified were analyzed with BibExcel software and visualized using the Pajek and VOSviewer tools. The predominant language in the publications was English, followed by Spanish. The publication rate was shown to have increased in recent years. The journal "Computers in Human Behavior" had the highest production. The repercussion of new technologies on this phenomenon has been felt, and research groups have enlarged their production in response to the problem. A systematic review and/or meta-analysis examining the contents of the studies identified and the variables related to this problem is therefore necessary. This could identify a point of reference for research in this field and a basis for future reviews of its development and progress over time.

Published Research on Burnout in Nursing in Spain in the Last Decade: Bibliometric Analysis.

Scientific production in the last decades has evidenced an increase in burnout syndrome in healthcare professionals. The objective of this bibliometric study was to analyze scientific productions on burnout in nurses in 2009-2019. A search was made on the Web of Science database on burnout in nursing. The variables evaluated were number of publications per year, productivity based on the journal and relationships between authors. Data were analyzed using Bibexcel software, and Pajek was used to visualize the co-authorship network map. A total of 1528 publications related to burnout in nurses were identified. The years with the most productivity were 2016 to 2017, when the publication rate increased noticeably over previous years. The Spanish journal with the most production on the subject was Atención Primaria. The co-authorship network analyzed illustrated collaboration patterns among the researchers. Scientific publications on the subject have increased in recent years due to problems in the healthcare system, which is in need of prevention and intervention programs for healthcare professionals.

Co-authorship network analysis in cardiovascular research utilizing machine learning (2009-2019).

BACKGROUND: With the recent advances in computational science, machine-learning methods have been increasingly used in medical research. Because such projects usually require both a clinician and a computational data scientist, there is a need for interdisciplinary research collaboration. However, there has been no published analysis of research collaboration networks in cardiovascular medicine using machine intelligence. METHODS: Co-authorship network analysis was conducted on 2857 research articles published between 2009 and 2019. Bibliographic data were collected from the Web of Science, and the co-authorship networks were represented as undirected multigraphs. The network density, average degree, clustering coefficient, and number of communities were calculated, and the chronological changes were assessed. Thereafter, the leading authors were identified according to the centrality metrics. Finally, we investigated the significance of the characteristics of the co-authorship network in the largest component via a Monte Carlo simulation with the Barabasi-Albert model. RESULTS: The co-authorship network of the entire period consisted of 13,979 nodes and 68,668 weighted edges. A time-series analysis revealed a linear correlation between the number of nodes and the number of edges (R2 = 0.9937, p < 0.001). Additionally, the number of communities was linearly correlated with the number of nodes (R2 = 0.9788, p < 0.001). The average shortest path increased by a greater degree than the logarithm of the number of nodes, indicating the scale-free structure of the network. We identified D. Berman as the most central author with regard to the degree centrality and closeness centrality. S. Neubauer was the top-ranking author with regard to the betweenness centrality. Among the 22 authors who were ranked in the top 10 for any centrality, 14 authors (63.6%) had a medical degree (medical doctor, MD). The remaining eight non-MD researchers had a PhD in computational science-related fields. The number of communities detected in the Barabasi-Albert model simulation was similar to that for the largest component of the real network (6.21 ± 0.07 vs. 6, p = 0.096). CONCLUSIONS: A co-authorship network analysis revealed a structure of collaboration networks in the application of machine learning in the field of cardiovascular disease, which can be useful for planning future scientific collaboration.

Um método para analisar a temática de periódicos voltados para a saúde coletiva / A method to analyze the thematic of journals focusing on public health / Un método para analizar la temática de revistas dirigidas a la salud colectiva

Este artigo discute uma proposta metodológica de investigação da temática da produção científica no campo da saúde coletiva, com o apoio da teoria de redes, tomando como referência de aplicação os artigos publicados no periódico Cadernos de Saúde Pública em 2011. A proposta inclui a construção e a análise de redes semânticas de títulos de artigos e uma comparação com redes semânticas de grupos de coautores. No experimento, montou-se uma rede de dois modos: com títulos (269) e autores (858); em seguida, foram projetadas, separadamente, as redes de autor e de título. Foram construídas e caracterizadas redes semânticas de títulos. Uma sub-rede de coautores foi escolhida e a correspondente rede de títulos comparada com a rede total. A proposta aponta alternativas que podem ser exploradas no trato da aplicação da análise de redes sociais na saúde e, em particular, na saúde coletiva. Índices da análise de redes são estendidos às redes semânticas de títulos e devidamente interpretados. Os resultados para a produção e período escolhidos mostram que a rede de dois modos e suas projeções são fragmentadas, com muitos componentes; apontam também para a influência de grupos de coautores na temática geral do periódico em questão. Na análise da rede dos títulos, os temas que se destacaram são resultado de estudos coerentes com as metas prioritárias de pesquisa do Ministério da Saúde.

This paper discusses a methodological proposal of research related to scientific production focusing on public health, with the support of network theory, taking as reference the application of articles published in the journal titled Cadernos de Saúde Pública (Reports in public health) in 2011. The proposal includes the construction and analysis of semantic networks based on titles of scientific papers and a comparison with semantic networks of co-authors groups. In the experiment, it was set up a two-mode network with 269 titles and 858 authors; then the co-authorship network and the title network were separately built. Semantic networks based on titles of scientific papers were built and characterized. A co-authorship subnetwork waschosen and the corresponding title network was compared to the original network. The proposal points out alternatives that can be explored in the application of social networks analysis to health and, in particular,to public health. Network analysis indexes are extended to semantic networks based on titles of scientific articles and appropriately interpreted. The results for selected production and period show that the two modenetwork and its projections are fragmented, with many components; the results also point to the influence of groups of co-authors on the general theme of the analysed journal. In the analysis of semantic networks based on titles of scientific papers, the most prominent themes are the result of coherent studies toward the priority goals of research of Brazilian Ministry of Health.

Este artículo discute una metodología de investigación temática de la producción científica dirigida a la salud colectiva, con el apoyo de la teoría de redes, tomando como referencia de aplicación los artículos publicados en la revista Cadernos de Saúde Pública en 2011. La propuesta incluye la construcción y el análisis de redes semánticas de títulos de artículos y una comparación con redes semánticas de grupos de co-autores. En el experimento, se ha creado una red de dos-modos con títulos (269) y autores (858); a continuación fueron construidas por separado las redes de autor y de título. Hemos construido y caracterizado las redes semánticas de títulos de artículos. Elegimos una subred de co-autores y comparamos la red correspondiente de títulos con la red original. La propuesta señala alternativas que podemos explorar en la aplicación del análisis de redes sociales en la salud y, en particular, en la salud pública. Extendemos los índices de análisis de redes para las redes semánticas de títulos de artículos e interpretamos de manera adecuada. Los resultados para el período y producción seleccionados muestran que la red de dos-modos y sus proyecciones son fragmentadas,con muchos componentes; también apuntan a la influencia de grupos de co-autores en el tema general de la revista. En el análisis de la rede semántica de títulos de artículos, los temas que se destacaron son el resultado de estudios coherentes con los objetivos prioritarios de investigación del Ministerio de Salud brasileño.

Social Network Analysis of Iranian Researchers on Medical Parasitology: A 41 Year Co-Authorship Survey.

BACKGROUND: The aim of this study was to survey the Iranian Parasitology researchers' performance, and analyse and visualize the scientific outputs of their co-authorship network. METHODS: This study was conducted using scientometric method and social network analysis (SNA). The data extracted from the Web of Science (WoS) databases in July 10th 2014. Totally, 1048 documents of all types in research area of Parasitology during 1972-2013 by Iranian researches retrieved. The co-authorship map was drawn utilizing NETDRAW, Coauthor.exe, and UCINET softwares and was analysed based on SNA measures. RESULTS: The researchers' co-authorship network consisted of 78 authors and its density degree is 0.57. "Mohebali" ranked top in all of centrality measures. The most of the publications were related to 2012, "Mohebali" with about 9% of all documents was the Iranian most prolific author in Parasitology field. The Iranian researches have published mostly (266 documents) in "Iranian Journal of Parasitology", and the most of the documents belong to "Tropical Medicine" subject field. The most of Iranian researchers' scientific cooperation was performed with England and United States. CONCLUSION: Bringing forth density degree (is 0.57) showed that this network has an almost medium density. Indeed, the authors have had relations in moderate level with each other in the network. The findings of this study can be identified aspects of scientific collaboration, and help policy makers of Parasitology field research.

Graphic database Neo4 J-based research and practice of co-authorship network / 中华医学图书情报杂志

Research of co-authorship network can reveal the scientific research collaboration network and can thus help us to have an understanding of it. Graphic database and Neo4J were described in detail due to the limitations of relationship database in processing the data of co-authorship network. Graphic database Neo4J-based research and practice of co-authorship network were analyzed with the Institutional Knowledge System of AMMS that we were involved in its construction as an example, and the advantages of Neo4J-based co-authorship network were summarized.

Co-authorship networks in regional health informatization research community in China / 中华医学科研管理杂志

Objective To reveal the status quo and emerging issues of co-authorship in regional health informatization research community in China.Methods The terms or keywords describing and covering regional health informatization were used to search the most relevant literatures about the subject in CNKI,Wanfang database and PubMed.Software tools were used to extract bibliographic,Social network analysis (SNA);co-authorship,and co-word analysis were used in this study.Results ①11,482 articles with 16,449 authors in the period of 1984-2013 were found.Each publication has an average of 1.43 authors,and each author has 0.70 publications.The number of coauthored literature was 7741 (67.42 ％).Both production and collaboration have been growing steadily.② Coauthored knowledge network was build which composed by 150 high-yielding Authors.The largest component comprises 43 authors(28％,43/156).The intermediate centrality of 57 authors were above 0.③ 230 2-plexes were found,and 65 2-plexes scale was 4 and over;and there was overlap among them.There were extensive cooperation between the military institutions,a large number of regional health information technology research talent were found in army research institutes..Cohesive subgroups density showed an E-I index=-0.901,which indicated that factionalism was comparatively weaker in this field,and the relationship tended to occur among subgroups.④ Cooperative network was established between the provinces and municipalities.Beijing,Guangdong,Jiangsu,Hubei were the core area.⑤ The average distance between the author=3.155,and it consistent with the small-world characteristics.⑥ The largest component of the network research can be summarized into three categories:HIS-related research,electronic medical records related research,and regional health informatization related research.Conclusions Although such collaboration is growing steadily,the collaboration behavior about regional health informatization study needs to be enhanced.Policy makers and researchers can refer to the relevant information and promote cooperation,improve the capacity of regional health information research and construction.

Correlation between co-authorship network parameters and bibliometric assessment parameters / 中华医学图书情报杂志

Articles, reviews and proceeding papers published from 2012 to 2015 in medical, chemical and physical journals with the highest IF were retrieved from 2014 JCR and analyzed using the BICOMB software to generate the co-occurrence matrix of authors and plot the map of co-authorship network in medical, chemical and physical fields using the UCINET software.The correlation between the parameters for assessing the importance of co-au-thorship network nodes ( degree centrality, betweenness centrality, closeness centrality, eigenvector centrality) and biblimetric parameters of authors ( number of published papers, frequency of cited papers) was analyzed using the SPSS, which showed that degree centrality, betweenness centrality, and eigenvector centrality were positively corre-lated with the number of published papers and the frequency of cited papers whereas betweenness centrality was negatively correlated the number of published papers and the frequency of cited papers.Betweenness centrality was more significantly correlated with the number of published papers whereas degree centrality was more significantly correlated with the frequency of cited papers.

Advances in research of three literature-related complex networks:citation network, co-authorship network and co-words network / 中华医学图书情报杂志

After the basic properties of literature-related citation network, co-authorship network and co-words network were analyzed and the advances in their application research were summarized in aspects of their construc-tion methods, size and research depth, it was pointed out that article similarity networks could be constructed using the article similarity algorithm, and their basic properties and features were analyzed.

Understanding the assembly of interdisciplinary teams and its impact on performance.

Interdisciplinary teams are assembled in scientific research and are aimed at solving complex problems. Given their increasing importance, it is not surprising that considerable attention has been focused on processes of collaboration in interdisciplinary teams. Despite such efforts, we know less about the factors affecting the assembly of such teams in the first place. In this paper, we investigate the structure and the success of interdisciplinary scientific research teams. We examine the assembly factors using a sample of 1,103 grant proposals submitted to two National Science Foundation interdisciplinary initiatives during a 3-year period, including both awarded and non-awarded proposals. The results indicate that individuals' likelihood of collaboration on a proposal is higher among those with longer tenure, lower institutional tier, lower H-index, and with higher levels of prior co-authorship and citation relationships. However, successful proposals have a little bit different relational patterns: individuals' likelihood of collaboration is higher among those with lower institutional tier, lower H-index, (female) gender, higher levels of prior co-authorship, but with lower levels of prior citation relationships.