Scientific consensus, the law, and same sex parenting outcomes.

While the US Supreme Court was considering two related cases involving the constitutionality of same-sex marriage, one major question informing that decision was whether scientific research had achieved consensus regarding how children of same-sex couples fare. Determining the extent of consensus has become a key aspect of how social science evidence and testimony is accepted by the courts. Here, we show how a method of analyzing temporal patterns in citation networks can be used to assess the state of social scientific literature as a means to inform just such a question. Patterns of clustering within these citation networks reveal whether and when consensus arises within a scientific field. We find that the literature on outcomes for children of same-sex parents is marked by scientific consensus that they experience "no differences" compared to children from other parental configurations.

Work-life balance: A landscape mapping of two decades of scholarly research.

Work-life balance has gained increasing popularity among scholars and practitioners since the beginning of the century. Despite significant attempts to consolidate this burgeoning field, the scholarly knowledge on work-life balance research remains fragmented and detached due to extant number of publications in the area and the mostly subjective approaches used to encapsulate the literature. As such, the current study presents an objective overview of work-life balance research between 2000 and 2020. Using bibliometric techniques, the authors examined 1190 articles indexed in Scopus database to identify the conceptual structure and current dynamics in the field. During the critical period between the reconceptualization of word-life balance and the emergence of COVID-19 pandemic, the findings reveal that the field was growing exponentially as a multidisciplinary research area. Most of the scholarly work originated in the US, UK, and Australia with a "locally-centralized-globally-discrete" collaboration pattern among scholars. The most relevant and developed research themes included, in addition to work-life balance, topics related to gender and family life. Furthermore, new emerging research directions had evolved beyond the traditional constructs including job security, flexible working hours, individual productivity, and work-life conflicts. The study contributes to the current knowledge on work-life balance by providing critical insights into the evolution of the field and offers potential avenues for scholars who are interested in this critical research domain and the changes it has experienced post pandemic.

Fifteen years of YouTube scholarly research: knowledge structure, collaborative networks, and trending topics.

Since its inception, YouTube has been a source of entertainment and education. Everyday millions of videos are uploaded to this platform. Researchers have been using YouTube as a source of information in their research. However, there is a lack of bibliometric reports on research carried out on this platform and the pattern in the published works. This study aims at providing a bibliometric analysis on YouTube as a source of information to fill this gap. Specifically, this paper analyzes 1781 articles collected from the Scopus database spanning fifteen years. The analysis revealed that 2006-2007 were initial stage in YouTube research followed by 2008 -2017 which is the decade of rapid growth in YouTube research. The 2017 -2021 is considered the stage of consolidation and stabilization of this research topic. We also discovered that most relevant papers were published in small number of journals such as New Media and Society, Convergence, Journal of Medical Internet Research, Computers in Human Behaviour and the Physics Teacher, which proves the Bradford's law. USA, Turkey, and UK are the countries with the highest number of publications. We also present network analysis between countries, sources, and authors. Analyzing the keywords resulted in finding the trend in research such as "video sharing" (2010-2018), "web -based learning" (2012-2014), and "COVID -19" (2020 onward). Finally, we used Multiple Correspondence Analysis (MCA) to find the conceptual clusters of research on YouTube. The first cluster is related to user -generated content. The second cluster is about health and medical issues, and the final cluster is on the topic of information quality.

Bibliometric network analysis of thirty years of islamic banking and finance scholarly research.

This study utilizes bibliometric analyses to map and visualize the development, conceptual structure, and thematic evolution of the Islamic Banking and Finance (IB&F) scholarly research. It analyses 464 WoS IB&F research publications of 921 authors comprising 58 countries published over three decades from 1990 to 2019. The results reveal that (i) collaboration among countries is limited and institutional collaboration can be described as a "locally concentrated and globally isolated," (ii) the IB&F research is a type of "small-world-network" where few authors and journals dominate the networks and play a central role in the diffusion of knowledge and the "homophily impact" is present among the leading authors of the IB&F research, (iii) the networks in IB&F research reflects the "Matthew Effect," implying that few authors have a more significant number of networks compared to the rest of authors. The study has also identified the conceptual structure and thematic trends in the IB&F research and provides avenues for future research.

Uncovering the Effect of European Policy-Making Initiatives in Addressing Nutrition-Related Issues: A Systematic Literature Review and Bibliometric Analysis on Front-of-Pack Labels.

The last decades have been marked by the introduction of front-of-pack labels (FoPL) as an institutional corrective action against obesity and nutrition-related illnesses. However, FoPL-related policy-making initiatives issued by the European Union evolved over time and led to a diversity of labels with different effects on consumers' decisions. As a result, the extant literature adapted to the regulative scenario over the years and investigated the effects of the labels, creating consensus on some topics while being fragmented on others. Similarly, policy-makers adapted some regulations to the evidence supported by the research. With the aim to systematize the overall structure and evolution of the literature on FoPL, investigate the presence of a consensus on specific topics through a co-citation analysis, and examine the evolution of the consensus and co-citation networks over the years and potential research gaps, we report the results of bibliometric and co-citation analyses and a systematic literature review involving 170 papers and a selection of 49 articles published in the last months, for a total of 219 articles, analysed according to three timespans (Period 1 (1989-2011); Period 2 (2012-2016) and Period 3 (2017-2022)). Our findings highlight the interplay of policy development and FoPL research, the presence of few self-reinforcing and well-established co-citation networks based on validated evidence in the literature and the presence of alternative emerging theories that offer different and valid perspectives overlooked by mainstream co-citation research networks.

The Academic Landscapes of Manufacturing Enterprise Performance and Environmental Sustainability: A Study of Commonalities and Differences.

This article reviews literature on manufacturing enterprise performance (MEP) and environmental sustainability (ES) to identify their commonalities and distinguishing factors; it is expected to help determine gaps and paths for future research. Topics are classified based on patterns in the citation networks of 7308 and 6275 MEP and ES articles, respectively. Additionally, a semantic linkage was computed to reveal overlap in vocabulary between the two topics. A total of 17 and 21 topics were found in MEP and ES, respectively, where the main shared theme was the green supply chain. However, research on biofuels is unique to ES, and privatization is unique to MEP, among others. The concept of "performance" has also been covered by MEP and ES researchers. This article provides an objective snapshot of current research trends based on quantitative data, and the findings may be used to guide future research directions at the intersection of MEP and ES.

Exploration of Shared Themes Between Food Security and Internet of Things Research Through Literature-Based Discovery.

This paper applied a literature-based discovery methodology utilizing citation networks and text mining in order to extract and represent shared terminologies found in disjoint academic literature on food security and the Internet of Things. The topic of food security includes research on improvements in nutrition, sustainable agriculture, and a plurality of other social challenges, while the Internet of Things refers to a collection of technologies from which solutions can be drawn. Academic articles on both topics were classified into subclusters, and their text contents were compared against each other to find shared terms. These terms formed a network from which clusters of related keywords could be identified, potentially easing the exploration of common themes. Thirteen transversal themes, including blockchain, healthcare, and air quality, were found. This method can be applied by policymakers and other stakeholders to understand how a given technology could contribute to solving a pressing social issue.

Tracing Long-Term Outcomes of Basic Research Using Citation Networks.

In recent years, the science of science policy has been facilitated by the greater availability of and access to digital data associated with the science, technology, and innovation enterprise. Historically, most of the studies from which such data are derived have been econometric or "scientometric" in nature, focusing on the development of quantitative data, models, and metrics of the scientific process as well as outputs and outcomes. Broader definitions of research impact, however, necessitate the use of qualitative case-study methods. For many years, U.S. federal science agencies such as the National Institutes of Health have demonstrated the impact of the research they support through tracing studies that document critical events in the development of successful technologies. A significant disadvantage and barrier of such studies is the labor-intensive nature of a case study approach. Currently, however, the same data infrastructures that have been developed to support scientometrics may also facilitate historical tracing studies. In this paper, we describe one approach we used to discover long-term, downstream outcomes of research supported in the late 1970's and early 1980's by the National Institute of General Medical Sciences, a component of the National Institutes of Health.

Safety climate: Systematic literature network analysis of 38 years (1980-2018) of research.

The objective of this paper is to examine the safety climate knowledge epistemology using bibliometric and systematic literature network analysis. For this purpose, bibliometric information of research article published on safety climate topic was retrieved from Scopus databases. In total, 494 articles published between 1980 and 2018 were retrieved. These articles cover 1373 authors, 203 journals and 2511 keywords. Information collected was analyzed employing bibliometric and network analysis approach using an open source computer program R and VOSviewer. The main findings of the study reveal the publication trends in safety climate literature since 1980 to present, identifies most productive authors, and most influential research work. Our findings suggest that Huang and Zohar are the top publishing authors in safety climate domain. Zohar's work has the highest citations. The most influential articles have been published in Journals such as Accident Analysis and Prevention, Journal of Applied Psychology, Safety Science and Journal of Safety Research. Network analysis of these articles yielded co-citation networks of most influential works, bibliographical coupling network and keywords co-occurrence network yielded the structure of safety climate knowledge. Findings of our research have theoretical and practical implications in the area of safety climate.

Evaluating "startup readiness" for researchers: case studies of research-based startups with biopharmaceutical research topics.

For research domains such as life sciences, which pursue fundamental scientific understanding and applications intended for immediate use, academic entrepreneurship has played a pivotal role in commercialization. This paper presents an evaluation method of researchers related to user-inspired fundamental research, using global databases of startup finances and academic research papers of "startup readiness." Case studies of startups related to biopharmaceutical research topics suggest that the biopharmaceutical field has rich opportunities stemming from scientific research, commercialization, and entrepreneurship. This evaluation method sorts specific industry segments by which financing activities are active, and by which related growing research topics attract increased academic attention. We constructed networks of author citation and co-authorship from paper citation networks related to research topics in industry segments in the biopharmaceutical domain. Results obtained across all research topics we surveyed demonstrated that authors in the top 10% of degree centrality ranking in both networks are far more likely to be startup participants than other authors. Our computational approach might provide convenient, dynamic, global, and real-time understanding of the "startup readiness" of researchers working with research topics for which academic attention is emerging in actively financed biopharmaceutical fields.

Rasmussen number greater than one.

This essay describes the ramifying influence of Jens Rasmussen, illustrating how his work lives on through people whom he has influenced, even though they may have never directly collaborated. I approach this in three ways: a social network analysis of the 'Rasmussen number' (an analogue of the Erdös number); and two citations network analyses based on different search domains and different network structures.

The emergence of a field: a network analysis of research on peer review.

This article provides a quantitative analysis of peer review as an emerging field of research by revealing patterns and connections between authors, fields and journals from 1950 to 2016. By collecting all available sources from Web of Science, we built a dataset that included approximately 23,000 indexed records and reconstructed collaboration and citation networks over time. This allowed us to trace the emergence and evolution of this field of research by identifying relevant authors, publications and journals and revealing important development stages. Results showed that while the term "peer review" itself was relatively unknown before 1970 ("referee" was more frequently used), publications on peer review significantly grew especially after 1990. We found that the field was marked by three development stages: (1) before 1982, in which most influential studies were made by social scientists; (2) from 1983 to 2002, in which research was dominated by biomedical journals, and (3) from 2003 to 2016, in which specialised journals on science studies, such as Scientometrics, gained momentum frequently publishing research on peer review and so becoming the most influential outlets. The evolution of citation networks revealed a body of 47 publications that form the main path of the field, i.e., cited sources in all the most influential publications. They could be viewed as the main corpus of knowledge for any newcomer in the field.

Homophily and missing links in citation networks.

Citation networks have been widely used to study the evolution of science through the lenses of the underlying patterns of knowledge flows among academic papers, authors, research sub-fields, and scientific journals. Here we focus on citation networks to cast light on the salience of homophily, namely the principle that similarity breeds connection, for knowledge transfer between papers. To this end, we assess the degree to which citations tend to occur between papers that are concerned with seemingly related topics or research problems. Drawing on a large data set of articles published in the journals of the American Physical Society between 1893 and 2009, we propose a novel method for measuring the similarity between articles through the statistical validation of the overlap between their bibliographies. Results suggest that the probability of a citation made by one article to another is indeed an increasing function of the similarity between the two articles. Our study also enables us to uncover missing citations between pairs of highly related articles, and may thus help identify barriers to effective knowledge flows. By quantifying the proportion of missing citations, we conduct a comparative assessment of distinct journals and research sub-fields in terms of their ability to facilitate or impede the dissemination of knowledge. Findings indicate that Electromagnetism and Interdisciplinary Physics are the two sub-fields in physics with the smallest percentage of missing citations. Moreover, knowledge transfer seems to be more effectively facilitated by journals of wide visibility, such as Physical Review Letters, than by lower-impact ones. Our study has important implications for authors, editors and reviewers of scientific journals, as well as public preprint repositories, as it provides a procedure for recommending relevant yet missing references and properly integrating bibliographies of papers.

Citation networks of related trials are often disconnected: implications for bidirectional citation searches.

BACKGROUND AND OBJECTIVES: Reports of randomized controlled trials (RCTs) should set findings within the context of previous research. The resulting network of citations would also provide an alternative search method for clinicians, researchers, and systematic reviewers seeking to base decisions on all available evidence. We sought to determine the connectedness of citation networks of RCTs by examining direct (referenced trials) and indirect (through references of referenced trials, etc) citation of trials to one another. METHODS: Meta-analyses were used to create citation networks of RCTs addressing the same clinical questions. The primary measure was the proportion of networks where following citation links between RCTs identifies the complete set of RCTs, forming a single connected citation group. Other measures included the number of disconnected groups (islands) within each network, the number of citations in the network relative to the maximum possible, and the maximum number of links in the path between two connected trials (a measure of indirectness of citations). RESULTS: We included 259 meta-analyses with a total of 2,413 and a median of seven RCTs each. For 46% (118 of 259) of networks, the RCTs formed a single connected citation group-one island. For the other 54% of networks, where at least one RCT group was not cited by others, 39% had two citation islands and 4% (10 of 257) had 10 or more islands. On average, the citation networks had 38% of the possible citations to other trials (if each trial had cited all earlier trials). The number of citation islands and the maximum number of citation links increased with increasing numbers of trials in the network. CONCLUSION: Available evidence to answer a clinical question may be identified by using network citations created with a small initial corpus of eligible trials. However, the number of islands means that citation networks cannot be relied on for evidence retrieval.

Sciatic nerve injury repair: a visualized analysis of research fronts and development trends.

A total of 3,446 publications regarding sciatic nerve injury repair and protection indexed by Web of Science during 2000-2004 were used for a detailed analysis of temporal-spatial distribution characteristics. Reference co-citation networks of the 100 top-cited publications as per the number of total citations were created using the Web of Science database and the information visualization tool, CiteSpaceIII. The key words that showed high frequency in these publications were included for analyzing the research fronts and development trends for sciatic nerve injury repair and protection. Through word frequency trend analysis, studies on bone marrow mesenchymal stem cells, adipose-derived stem cells, and skeletal muscle-derived multipotent stem cells combined with tissue-engineered scaffold material will become the forefronts in the field of sciatic nerve injury repair and protection in the near future.