scholarly journals Intellectual authorities and hubs of Green Chemistry

2020 ◽  
Vol 32 ◽  
Author(s):  
Leonardo Victor MARCELINO ◽  
Adilson Luiz PINTO ◽  
Carlos Alberto MARQUES
Keyword(s):  
Network Analysis ◽  
Green Chemistry ◽  
Descriptive Analysis ◽  
Scientific Production ◽  
Current Output ◽  
Self Organized ◽  
New Methodologies ◽  
Dangerous Substances ◽  
Chemistry Journal

Abstract Green Chemistry is a self-organized movement of chemists intended to prevent and minimize the use and production of dangerous substances and processes. The current output and growing rate of the field hinders descriptive analysis of its contents, innovations (if any), and dynamics. Therefore, new methodologies must be sought. This research aims at broadening the understanding on the structure of Green Chemistry by pointing out its intellectual hubs (researchers important to the spread and consolidation of knowledge) and its intellectual authorities, the sources of that knowledge. Documents (N=14,142) either containing the term “green chemistry” or published in the Green Chemistry Journal and the Green Chemistry Letters and Reviews between 1990 and 2017 were analyzed by co-citation and network analysis. Sixteen clusters were grouped in six big specialties, from which 14 hubs and 21 authorities were found. Results corroborate previous analyses of the field, but this research has the advantage of stemming from the dynamics of scientific production, rather than from previously defined qualitative categories of the field itself.

scholarly journals Scientific collaboration network ammong Brazilian universities

2013 ◽  
Vol 6 (1) ◽  
Author(s):  
Maria Isabel Escalona-Fernandez ◽  
Antonio Pulgarin-Guerrero ◽  
Ely Francina Tannuri de Oliveira ◽  
Maria Cláudia Cabrini Gracio
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Scientific Collaboration ◽  
Methodological Approach ◽  
Scientific Production ◽  
Collaboration Network ◽  
Network Data ◽  
New Knowledge

This paper analyses the scientific collaboration network formed by the Brazilian universities that investigate in dentistry area. The constructed network is based on the published documents in the Scopus (Elsevier) database covering a period of 10 (ten) years. It is used social network analysis as the best methodological approach to visualize the capacity for collaboration, dissemination and transmission of new knowledge among universities. Cohesion and density of the collaboration network is analyzed, as well as the centrality of the universities as key-actors and the occurrence of subgroups within the network. Data were analyzed using the software UCINET and NetDraw. The number of documents published by each university was used as an indicator of its scientific production.

Network Analysis for Economics and Management Studies

2016 ◽  
pp. 1-60 ◽  
Author(s):  
Lucio Biggiero
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Formation ◽  
Competitive Equilibrium ◽  
Group Structure ◽  
Network Modeling ◽  
Descriptive Analysis ◽  
Economic Networks ◽  
Main Research

Sociology and other social sciences have employed network analysis earlier than management and organization sciences, and much earlier than economics, which has been the last one to systematically adopt it. Nevertheless, the development of network economics during last 15 years has been massive, alongside three main research streams: strategic formation network modeling, (mostly descriptive) analysis of real economic networks, and optimization methods of economic networks. The main reason why this enthusiastic and rapidly diffused interest of economists came so late is that the most essential network properties, like externalities, endogenous change processes, and nonlinear propagation processes, definitely prevent the possibility to build a general – and indeed even partial – competitive equilibrium theory. For this paradigm has dominated economics in the last century, this incompatibility operated as a hard brake, and presented network analysis as an inappropriate epistemology. Further, being intrinsically (and often, until recent times, also radically) structuralist, social network analysis was also antithetic to radical methodological individualism, which was – and still is – economics dominant methodology. Though culturally and scientifically influenced by economists in some fields, like finance, banking and industry studies, scholars in management and organization sciences were free from “neoclassical economics chains”, and therefore more ready and open to adopt the methodology and epistemology of social network analysis. The main and early field through which its methods were channeled was the sociology of organizations, and in particular group structure and communication, because this is a research area largely overlapped between sociology and management studies. Currently, network analysis is becoming more and more diffused within management and organization sciences. Mostly descriptive until 15 years ago, all the fields of social network analysis have a great opportunity of enriching and developing its methods of investigation through statistical network modeling, which offers the possibility to develop, respectively, network formation and network dynamics models. They are a good compromise between the much more powerful agent-based simulation models and the usually descriptive (or poorly analytical) methods.

scholarly journals The scientific production of Italian agricultural engineers: a bibliometric network analysis concerning the scientific sector AGR/10 Rural buildings and agro-forestry territory

2017 ◽  
pp. 36-47
Author(s):  
Andrea De Montis ◽  
Amedeo Ganciu ◽  
Fabio Recanatesi ◽  
Antonio Ledda ◽  
Vittorio Serra ◽  
...  
Keyword(s):  
Network Analysis ◽  
Building Design ◽  
Scientific Production ◽  
Landscape Analysis ◽  
Data Sets ◽  
Large Sets ◽  
Thomson Reuters ◽  
Rural Buildings ◽  
The Impact ◽  
Agro Forestry

According to a worldwide well-known attitude, also in Italy, the assessment of scientific production in the last decades has been progressively based on the analysis of the impact through bibliometric variables. Various data sets, such as Scopus by Elsevier and Web of Science by Thomson Reuters, are designed and maintained to index a steadily increasing range of essays: mostly journal articles, book chapters, and conference proceedings. The indexing relays on the capacity to evaluate and update specific impact measures by keeping track of the citations representing the relations between the essays. The related opportunity to interpret bibliographic systems as research and development (R&D) networks attracted the interest of scientists operating, beyond the field of bibliometric analysis, in the realm of social networking. Network analysis belongs to mechanical statistics and is able to make sense of interconnected systems including very large sets of nodes and links. In this paper, we present a network approach to the review of the scientific production in the time period January, 2003-June, 2016 of Italian agricultural engineers, namely scientists belonging to the Italian ministerial scientific disciplinary sector AGR/10 - rural buildings and agro-forestry territory. Starting from 238 articles indexed in the Web of Knowledge database and published by 87 AGR/10 scholars, we apply four network analysis approaches to the study of the citations among articles, the most influential journals and topics, the co-authorship, the most favourite keywords with their evolution in time, and the communities’ pattern. We discover that Italian agricultural engineers are interlaced in a sparse network with a still limited tendency toward citing each other and are inclined to team up in established research groups based on a single university. As for the dualism between rural buildings and territory, we document on a relevant expansion of the issues related to landscape analysis and planning and a continuous renewal of studies concerning the relation between rural buildings and biomass and energy management. We advance that Italian agricultural engineers are not confronted anymore with two monolithic macro themes, i.e. building design and landscape analysis and planning. Instead, the complexity and interplay between these two domains has dramatically increased in a somehow diverging universe of even more specialised and trans-scale topics.

scholarly journals Gender Differences in Social Support Received by Informal Caregivers: A Personal Network Analysis Approach

2018 ◽  
Vol 16 (1) ◽  
pp. 91 ◽  
Author(s):  
María Rodríguez-Madrid ◽  
María del Río-Lozano ◽  
Rosario Fernandez-Peña ◽  
Jaime Jiménez-Pernett ◽  
Leticia García-Mochón ◽  
...  
Keyword(s):  
Social Support ◽  
Gender Differences ◽  
Network Analysis ◽  
Descriptive Analysis ◽  
Perceived Health ◽  
Personal Network ◽  
Convenience Sample ◽  
Caregiver Support ◽  
Traditional Gender Roles ◽  
And Function

Social support is an important predictor of the health of a population. Few studies have analyzed the influence of caregivers’ personal networks from a gender perspective. The aim of this study was to analyze the composition, structure, and function of informal caregiver support networks and to examine gender differences. It also aimed to explore the association between different network characteristics and self-perceived health among caregivers. We performed a social network analysis study using a convenience sample of 25 female and 25 male caregivers. A descriptive analysis of the caregivers and bivariate analyses for associations with self-perceived health were performed. The structural metrics analyzed were density; degree centrality mean; betweenness centrality mean; and number of cliques, components, and isolates. The variability observed in the structure of the networks was not explained by gender. Some significant differences between men and women were observed for network composition and function. Women received help mainly from women with a similar profile to them. Men’s networks were broader and more diverse and they had more help from outside family circles, although these outcomes were not statistically significant. Our results indicate the need to develop strategies that do not reinforce traditional gender roles, but rather encourage a greater sharing of responsibility among all parties.

scholarly journals Circular Economy Strategy and Waste Management: A Bibliometric Analysis in Its Contribution To Sustainable Development, Towards A Post COVID-19 Era

2021 ◽  
Author(s):  
Mariana Negrete-Cardoso ◽  
Genoveva Rosano-Ortega ◽  
Erick Leobardo Álvarez-Aros ◽  
María Elena Tavera-Cortés ◽  
Carlos Arturo Vega-Lebrún ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Waste Management ◽  
Circular Economy ◽  
Conceptual Analysis ◽  
Descriptive Analysis ◽  
Scientific Production ◽  
Research Trends ◽  
Strong Linkage ◽  
Urban Solid Waste ◽  
Oriented Approach

Abstract A descriptive analysis of 416 documents was performed using bibliometric techniques, in order to gather existing knowledge in circular economy (CE) focusing on waste management (2007–2020). The results of this study indicate that annual scientific production increased 94% in the last five years; highlighting the countries of Italy, Spain, United Kingdom, China, Brazil and India. The conceptual analysis indicates strong linkage between CE and sustainable production, waste management and recycling. Emerging research trends evolved from processes and industry oriented approach (2017), towards waste management, recycling and circular economy (2019) and sustainable development and urban solid waste (2020). Through intellectual analysis, schools of thought were identified, where the most influential authors such as Wang, Ghisellini, Zhang and the European Commission with the greatest connection with other authors stand out. Results found denote the challenge represented by the implementation of comprehensive policies in CE, in addition to measure its contribution to sustainable development. The above, being a key alternative for green recovery in response to current COVID-19 pandemic.

scholarly journals ANALYSIS OF SCIENTIFIC PRODUCTION IN THE FIELD OF SUSTAINABLE TOURISM:

2021 ◽  
Vol 9 (3) ◽  
pp. 425-447
Author(s):  
Benedita Marta Gomes Costa ◽  
Patricia Veronica Pinheiro Sales Lima
Keyword(s):  
Sustainable Development ◽  
Network Analysis ◽  
Web Of Science ◽  
Sustainable Tourism ◽  
Scientific Production ◽  
Knowledge Network ◽  
Collaboration Network ◽  
Bibliometric Indicators ◽  
Tourism Management ◽  
The Web

The aim of this research was to investigate the dynamics of scientific production in the field of sustainable tourism, emphasizing the collaboration network, knowledge generated and the key authors and institutions that contribute to the advancement of knowledge.Information was collected from articles, books and proceeding papers using the Web of Science (WoS) platform from 1990 to 2018. A total of 7,051 documents were analyzed. Data were analyzed using network analysis and bibliometric indicators. Based on the information collected, scientific production linked on the economic pillar, particularly regarding terms such as sustainable tourism, tourism, management, sustainable development, sustainability, ecoturism and conservation. Thus, we found that the dynamics of collaboration in scientific production in sustainable tourism has a dense geographic network and proximity of themes as elements for structuring the knowledge network.

scholarly journals A bibliometric analysis on the use of the multicriteria approach to the water resource management

2020 ◽  
Vol 27 (2) ◽  
Author(s):  
Alexandre Troian ◽  
Mário Conill Gomes
Keyword(s):  
Water Resources ◽  
Water Resources Management ◽  
Water Resource Management ◽  
Water Distribution ◽  
Descriptive Analysis ◽  
Scientific Production ◽  
Data Set ◽  
Resources Management ◽  
Participatory Techniques ◽  
The Subject

Abstract: The purpose of this article was to accomplish a literature review to analyze the scientific studies which were based on Multicriteria Methods to study water resources management in agriculture. Scientific production indicators were established for the subject, through a descriptive analysis of 519 publications data set generated by the Scopus database search engine. The publications were refined applying several criteria resulting in 30 articles considered to be the most important to interpret the factors that detail the researched topic. The analyzed scientific studies also show that the structuring of multicriteria models is designed to better understand the problem or the process of decision making rather than to make the decisions itself. Furthermore, to the water resources management field, they provide a way to discuss and deal with problems like water distribution and pollution. An aggregating function along with a compensatory approach is used in most publications. Although participatory techniques were not the approach used by most studies, its potential was recognized for dealing with problems such as water management resources.

scholarly journals Modeling customer preferences using multidimensional network analysis in engineering design

2016 ◽  
Vol 2 ◽  
Author(s):  
Mingxian Wang ◽  
Wei Chen ◽  
Yun Huang ◽  
Noshir S. Contractor ◽  
Yan Fu
Keyword(s):  
Network Analysis ◽  
Social Influence ◽  
Social Interactions ◽  
Descriptive Analysis ◽  
Graph Model ◽  
Design Decisions ◽  
Random Graph Model ◽  
Customer Preferences ◽  
Exponential Random Graph ◽  
Product Similarities

Motivated by overcoming the existing utility-based choice modeling approaches, we present a novel conceptual framework of multidimensional network analysis (MNA) for modeling customer preferences in supporting design decisions. In the proposed multidimensional customer–product network (MCPN), customer–product interactions are viewed as a socio-technical system where separate entities of ‘customers’ and ‘products’ are simultaneously modeled as two layers of a network, and multiple types of relations, such as consideration and purchase, product associations, and customer social interactions, are considered. We first introduce a unidimensional network where aggregated customer preferences and product similarities are analyzed to inform designers about the implied product competitions and market segments. We then extend the network to a multidimensional structure where customer social interactions are introduced for evaluating social influence on heterogeneous product preferences. Beyond the traditional descriptive analysis used in network analysis, we employ the exponential random graph model (ERGM) as a unified statistical inference framework to interpret complex preference decisions. Our approach broadens the traditional utility-based logit models by considering dependency among complex customer–product relations, including the similarity of associated products, ‘irrationality’ of customers induced by social influence, nested multichoice decisions, and correlated attributes of customers and products.

scholarly journals The evolution of absorptive capacity in the scientific literature: a bibliometric analysis focused on innovation

2021 ◽  
Vol 20 (1) ◽  
pp. e18752
Author(s):  
Tainá Alves Townsend ◽  
Cristiane Drebes Pedron ◽  
Marcos Rogério Mazzieri
Keyword(s):  
Network Analysis ◽  
Absorptive Capacity ◽  
Web Of Science ◽  
Scientific Literature ◽  
Scientific Production ◽  
Intellectual Structure ◽  
Research Gaps ◽  
Coupling Analysis ◽  
Future Studies ◽  
Insight Into

Objective of the study: This study aims to analyze scientific production about absorptive capacity and innovation in such a way as to make it possible to identify study trends and the theoretical bases on which they are based.Methodology / Approach: We performed bibliographic coupling, co-citation, and social network analysis on a sample of 3,698 articles, considering 2,778 articles from Web of Science and 920 articles from Scopus.Originality / Relevance: In a preliminary search, only two bibliometric works were identified that focused on absorptive capacity and innovation. However, since 2015, more than 1,500 articles have been published, with new perspectives, advancing studies on this topic.Main results: The coupling analysis resulted in six factors showing the trends of future studies. The co-citation analysis presented three factors, representing the intellectual structure arising from the coupling analysis. The network analysis provided insight into how these studies connect. The results point to trends in future studies that can fill the research gaps on absorptive capacity and innovation. In addition, we also indicate the theoretical fronts that can be used to explore these trends. Finally, we present a model that summarizes our findings and shows how they can contribute to the advancement of research based on the seminal model of Zahra and George (2002).Theoretical / Methodological contributions: We present a mapping of the theme that provides a clearer view of which seminal works are used to approach each theme to be explored in future studies, associating the results of the bibliometric techniques used.

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