scholarly journals Collaboration Networks in the Brazilian Scientific Output in Evolutionary Biology: 2000-2012

2016 ◽  
Vol 88 (1) ◽  
pp. 165-178 ◽  
Author(s):  
Dirce M. Santin ◽  
Samile A.S. Vanz ◽  
Ida R.C. Stumpf
Keyword(s):  
Social Network ◽  
Evolutionary Biology ◽  
Scientific Community ◽  
Web Of Science ◽  
Scientific Output ◽  
Collaboration Networks ◽  
International Scientific Community ◽  
Collaborative Relationships ◽  
Brazilian Science ◽  
Over Time

This article analyzes the existing collaboration networks in the Brazilian scientific output in Evolutionary Biology, considering articles published during the period from 2000 to 2012 in journals indexed by Web of Science. The methodology integrates bibliometric techniques and Social Network Analysis resources to describe the growth of Brazilian scientific output and understand the levels, dynamics and structure of collaboration between authors, institutions and countries. The results unveil an enhancement and consolidation of collaborative relationships over time and suggest the existence of key institutions and authors, whose influence on research is expressed by the variety and intensity of the relationships established in the co-authorship of articles. International collaboration, present in more than half of the publications, is highly significant and unusual in Brazilian science. The situation indicates the internationalization of scientific output and the ability of the field to take part in the science produced by the international scientific community.

scholarly journals Scientometric methods of analysis of the effectiveness of scientific research according to Web of Sciense

2020 ◽  
Vol 8 (1 SI) ◽  
pp. 60-67
Author(s):  
Sergiy Kvitka ◽  
Halyna Starushenko ◽  
Ihor Andrianov
Keyword(s):  
Comparative Analysis ◽  
Scientific Community ◽  
Web Of Science ◽  
Scientific Information ◽  
Scientific Research ◽  
Research Process ◽  
International Scientific Community ◽  
Scientific Authority ◽  
Quantitative Estimates ◽  
The Web

The purpose of the study is to determine the factors for increasing the representation of the Ukrainian scientific community in the international scientific community and raising the international scientific authority of Ukraine.Used Results of the annual G20 evaluation - the effectiveness of research in 2019, conducted by the Institute of Scientific Information (ISI), part of the Web of Science Group.The principles of introduction of scientometric methods of research of publishing activity of scientists in the international and Ukrainian scientific space are considered. Based on the processing of statistical material and the obtained quantitative estimates, a comparative analysis of the effectiveness of research in the G20 and Ukraine according to the Web of Science. In this area, some differences between Ukraine and countries that are world leaders in the organization of the research process are shown. Recommendations for increasing the representation of the Ukrainian scientific community on the Web of Science platform and raising the international scientific authority of Ukraine are offered.

scholarly journals Individual-based models of cultural evolution. A step-by-step guide using R.

2020 ◽  
Author(s):  
Alberto Acerbi ◽  
Alex Mesoudi ◽  
Marco Smolla
Keyword(s):  
Social Network ◽  
Cultural Change ◽  
Cultural Evolution ◽  
Evolutionary Biology ◽  
Scientific Community ◽  
Formal Models ◽  
Agent Based ◽  
Individual Based Models ◽  
Interdisciplinary Effort ◽  
Demographic Effects

The field of cultural evolution has emerged in the last few decades as a thriving, interdisciplinary effort to understand cultural change and cultural diversity within an evolutionary framework and using evolutionary tools, concepts and methods. Given its roots in evolutionary biology, much of cultural evolution is grounded in, or inspired by, formal models. Yet many researchers interested in cultural evolution come from backgrounds that lack training in formal models, such as psychology, anthropology or archaeology.The aim of this book is to partly address this gap by showing readers how to create individual-based models (IBMs, also known as agent-based models, or ABMs) of cultural evolution. We provide example code written in the programming language R, which has been widely adopted in the scientific community. We will go from very simple models of the basic processes of cultural evolution, such as biased transmission and cultural mutation, to more advanced topics such as the evolution of social learning, demographic effects, and social network analysis. Where possible we recreate existing models in the literature, so that readers can better understand those existing models, and perhaps even extend them to address questions of their own interest.

scholarly journals Stakeholder theory and management: Understanding longitudinal collaboration networks

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0255658
Author(s):  
Julian Fares ◽  
Kon Shing Kenneth Chung ◽  
Alireza Abbasi
Keyword(s):  
Social Network ◽  
Stakeholder Theory ◽  
Research Collaboration ◽  
Research Performance ◽  
Positive Association ◽  
Collaboration Network ◽  
Collaboration Networks ◽  
Collaborative Relationships ◽  
Policy Makers ◽  
Network Properties

This paper explores the evolution of research collaboration networks in the ‘stakeholder theory and management’ (STM) discipline and identifies the longitudinal effect of co-authorship networks on research performance, i.e., research productivity and citation counts. Research articles totaling 6,127 records from 1989 to 2020 were harvested from the Web of Science Database and transformed into bibliometric data using Bibexcel, followed by applying social network analysis to compare and analyze scientific collaboration networks at the author, institution and country levels. This work maps the structure of these networks across three consecutive sub-periods (t1: 1989–1999; t2: 2000–2010; t3: 2011–2020) and explores the association between authors’ social network properties and their research performance. The results show that authors collaboration network was fragmented all through the periods, however, with an increase in the number and size of cliques. Similar results were observed in the institutional collaboration network but with less fragmentation between institutions reflected by the increase in network density as time passed. The international collaboration had evolved from an uncondensed, fragmented and highly centralized network, to a highly dense and less fragmented network in t3. Moreover, a positive association was reported between authors’ research performance and centrality and structural hole measures in t3 as opposed to ego-density, constraint and tie strength in t1. The findings can be used by policy makers to improve collaboration and develop research programs that can enhance several scientific fields. Central authors identified in the networks are better positioned to receive government funding, maximize research outputs and improve research community reputation. Viewed from a network’s perspective, scientists can understand how collaborative relationships influence research performance and consider where to invest their decision and choices.

scholarly journals STEAM in education: a bibliometric analysis of performance and co-words in Web of Science

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
José-Antonio Marín-Marín ◽  
Antonio-José Moreno-Guerrero ◽  
Pablo Dúo-Terrón ◽  
Jesús López-Belmonte
Keyword(s):  
Scientific Community ◽  
Teaching And Learning ◽  
Web Of Science ◽  
Field Education ◽  
Word Analysis ◽  
Science Technology ◽  
Analysis Of Performance ◽  
And Training ◽  
Over Time ◽  
The Web

Abstract Background Emerging methodologies that apply and integrate science, technology, engineering, art, and math (STEAM) in education have appeared in recent years as a pedagogical alternative providing more holistic and attractive education. Method The research methodology used in this work is of a bibliometric nature. Specifically, an academic performance analysis and a co-word analysis has been carried out. The term STEAM was analyzed in the Web of Science (WoS) database. The WoS programs Analyze Results, Creation Citation Report, and SciMAT were used. A total of 1116 manuscripts were analyzed. Results The results show that studies in the field education of STEAM began in 2006 and have continued uninterruptedly up to the present day, although interest generated in the scientific community has been irregular. Conclusions It can be concluded that STEAM studies have not had an established and robust line of research over time, although it can be observed that the trends in this aspect are focused on the scientific branch of education. In addition, the topics of study on STEAM include points related to gender differences, the influence of STEAM on people of different races, the skills developed by students, and training teachers to implement teaching and learning processes with STEAM.

Conventions and temporal differences in painted faces: A study of posture and color distribution

2020 ◽  
Vol 2020 (11) ◽  
pp. 267-1-267-8
Author(s):  
Mitchell J.P. van Zuijlen ◽  
Sylvia C. Pont ◽  
Maarten W.A. Wijntjes
Keyword(s):  
Scientific Community ◽  
Human Face ◽  
Art Galleries ◽  
Art Collections ◽  
Color Distribution ◽  
Scientific Domain ◽  
The Face ◽  
And Gender ◽  
Changes Over Time ◽  
Over Time

The human face is a popular motif in art and depictions of faces can be found throughout history in nearly every culture. Artists have mastered the depiction of faces after employing careful experimentation using the relatively limited means of paints and oils. Many of the results of these experimentations are now available to the scientific domain due to the digitization of large art collections. In this paper we study the depiction of the face throughout history. We used an automated facial detection network to detect a set of 11,659 faces in 15,534 predominately western artworks, from 6 international, digitized art galleries. We analyzed the pose and color of these faces and related those to changes over time and gender differences. We find a number of previously known conventions, such as the convention of depicting the left cheek for females and vice versa for males, as well as unknown conventions, such as the convention of females to be depicted looking slightly down. Our set of faces will be released to the scientific community for further study.

The International Action “Open Access Week — 2009”

2009 ◽  
pp. 97-98
Author(s):  
Yulia V. Samodova
Keyword(s):  
Open Access ◽  
Scientific Community ◽  
International Scientific Community ◽  
International Action ◽  
The World

Information on the coming Open Access Week which will be held from 19 to 23 October 2009. Interest in the results of scientific researches all over the world has led to consolidation of forces of the international scientific community and to expand the now-annual event from a single day to seven days.

Developing a sustainable Digital Health Innovation Ecosystem in a rural and resource-poor region: A monitored networking approach (Preprint)

2020 ◽  
Author(s):  
Arunangsu Chatterjee ◽  
Sebastian Stevens ◽  
Sheena Asthana ◽  
Ray B Jones
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Data Collection ◽  
Digital Health ◽  
Resource Poor Setting ◽  
Quadruple Helix ◽  
Innovation Ecosystem ◽  
Resource Poor ◽  
Quadruple Helix Model ◽  
Over Time

BACKGROUND Digital health (DH) innovation ecosystems (IE) are key to the development of new e-health products and services. Within an IE, third parties can help promote innovation by acting as knowledge brokers and the conduits for developing inter-organisational and interpersonal relations, particularly for smaller organisations. Kolehmainen’s quadruple helix model suggests who the critical IE actors are, and their roles. Within an affluent and largely urban setting, such ecosystems evolve and thrive organically with minimal intervention due to favourable economic and geographical conditions. Facilitating and sustaining a thriving DH IE within a resource-poor setting can be far more challenging even though far more important for such peripheral economics and the health and well-being of those communities. OBJECTIVE Taking a rural and remote region in the UK, as an instance of an IE in a peripheral economy, we adapt the quadruple helix model of innovation, apply a monitored social networking approach using McKinsey’s Three Horizons of growth to explore: • What patterns of connectivity between stakeholders develop within an emerging digital health IE? • How do networks develop over time in the DH IE? • In what ways could such networks be nurtured in order to build the capacity, capability and sustainability of the DH IE? METHODS Using an exploratory single case study design for a developing digital health IE, this study adopts a longitudinal social network analysis approach, enabling the authors to observe the development of the innovation ecosystem over time and evaluate the impact of targeted networking interventions on connectivity between stakeholders. Data collection was by an online survey and by a novel method, connection cards. RESULTS Self-reported connections between IE organisations increased between the two waves of data collection, with Small and Medium-sized Enterprises (SMEs) and academic institutions the most connected stakeholder groups. Patients involvement improved over time but still remains rather peripheral to the DH IE network. Connection cards as a monitoring tool worked really well during large events but required significant administrative overheads. Monitored networking information categorised using McKinsey’s Three Horizons proved to be an effective way to organise networking interventions ensuring sustained engagement. CONCLUSIONS The study reinforces the difficulty of developing and sustaining a DH IE in a resource-poor setting. It demonstrates the effective monitored networking approach supported by Social Network Analysis allows to map the networks and provide valuable information to plan future networking interventions (e.g. involving patients or service users). McKinsey’s Three Horizons of growth-based categorisation of the networking assets help ensure continued engagement in the DH IE contributing towards its long-term sustainability. Collecting ongoing data using survey or connection card method will become more labour intensive and ubiquitous ethically driven data collection methods can be used in future to make the process more agile and responsive.

The Evolutionary Biology of Species

2019 ◽  
Author(s):  
Timothy G. Barraclough
Keyword(s):  
Evolutionary Biology ◽  
Biological Diversity ◽  
Distinct Species ◽  
Species Boundaries ◽  
Central Thesis ◽  
Species Accumulation ◽  
Multicellular Organisms ◽  
Broad Approach ◽  
Over Time

‘Species’ are central to understanding the origin and dynamics of biological diversity; explaining why lineages split into multiple distinct species is one of the main goals of evolutionary biology. However, the existence of species is often taken for granted, and precisely what is meant by species and whether they really exist as a pattern of nature has rarely been modelled or critically tested. This novel book presents a synthetic overview of the evolutionary biology of species, describing what species are, how they form, the consequences of species boundaries and diversity for evolution, and patterns of species accumulation over time. The central thesis is that species represent more than just a unit of taxonomy; they are a model of how diversity is structured as well as how groups of related organisms evolve. The author adopts an intentionally broad approach to consider what species constitute, both theoretically and empirically, and how we detect them, drawing on a wealth of examples from microbes to multicellular organisms.

scholarly journals A Bibliometric Network Analysis of Coronavirus during the First Eight Months of COVID-19 in 2020

2021 ◽  
Vol 18 (3) ◽  
pp. 952 ◽  
Author(s):  
Leonardo B. Furstenau ◽  
Bruna Rabaioli ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Decision Making ◽  
Network Analysis ◽  
Web Of Science ◽  
Future Research ◽  
Future Trends ◽  
Damage Prevention ◽  
Over Time ◽  
The Web

The COVID-19 pandemic has affected all aspects of society. Researchers worldwide have been working to provide new solutions to and better understanding of this coronavirus. In this research, our goal was to perform a Bibliometric Network Analysis (BNA) to investigate the strategic themes, thematic evolution structure and trends of coronavirus during the first eight months of COVID-19 in the Web of Science (WoS) database in 2020. To do this, 14,802 articles were analyzed, with the support of the SciMAT software. This analysis highlights 24 themes, of which 11 of the more important ones were discussed in-depth. The thematic evolution structure shows how the themes are evolving over time, and the most developed and future trends of coronavirus with focus on COVID-19 were visually depicted. The results of the strategic diagram highlight ‘CHLOROQUINE’, ‘ANXIETY’, ‘PREGNANCY’ and ‘ACUTE-RESPIRATORY-SYNDROME’, among others, as the clusters with the highest number of associated citations. The thematic evolution. structure presented two thematic areas: “Damage prevention and containment of COVID-19” and “Comorbidities and diseases caused by COVID-19”, which provides new perspectives and futures trends of the field. These results will form the basis for future research and guide decision-making in coronavirus focused on COVID-19 research and treatments.

German labour market data – Data provision and access for the international scientific community

2020 ◽  
Vol 21 (3) ◽  
pp. 313-333
Author(s):  
Dana Müller ◽  
Stefanie Wolter
Keyword(s):  
Labour Market ◽  
Survey Data ◽  
Scientific Community ◽  
Market Research ◽  
Research Data ◽  
International Scientific Community ◽  
High Quality ◽  
Data Centre ◽  
Integrated Employment ◽  
Data Provision

AbstractThe Research Data Centre at the Institute for Employment Research (RDC-IAB) has been offering high-quality administrative and survey data on the German labour market for 15 years and has become one of the most important locations worldwide for researchers interested in data for labour market research. This article provides an overview of the RDC-IAB, including its data and access modes. The article presents two datasets in more detail: the Sample of Integrated Employment Biographies, a classic dataset, and the Linked Personnel Panel, a new dataset. Finally, this article provides insights into future infrastructure and data developments.

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