Locality and attachedness-based temporal social network growth dynamics analysis: A case study of evolving nanotechnology scientific collaboration networks

2010 ◽  
Vol 61 (5) ◽  
pp. 964-977 ◽  
Author(s):  
Haizheng Zhang ◽  
Baojun Qiu ◽  
Kristinka Ivanova ◽  
C. Lee Giles ◽  
Henry C. Foley ◽  
...  
Keyword(s):  
Social Network ◽  
Scientific Collaboration ◽  
Growth Dynamics ◽  
Dynamics Analysis ◽  
Collaboration Networks ◽  
Network Growth

scholarly journals Anthropization and Growth of the Electricity Grid as Variables for the Analysis of Urban Infrastructure

2020 ◽  
Vol 12 (4) ◽  
pp. 1486
Author(s):  
Manuel Ayala ◽  
Diego Huaraca ◽  
José Varela-Aldás ◽  
Andrea Ordóñez ◽  
Genís Riba
Keyword(s):  
Agricultural Land ◽  
Growth Dynamics ◽  
Urban Infrastructure ◽  
Power Network ◽  
Network Growth ◽  
Sustainable Infrastructure ◽  
City Growth ◽  
Electricity Grid ◽  
Linear Least Squares Problem

City growth goes together with the development of infrastructure, and the power network is one of the most relevant towards economic development. The study of urban infrastructure through the analysis of anthropization coupled with power network growth can produce a tool that supports sustainable infrastructure planning, both economic and environmental. The case study focuses on Ambato, Ecuador, in the period from 1950 to 2019, and assesses quantitatively the changes in the city layout and the evolution of its power network. The data are adjusted to a sigmoid-type objective function through a non-linear least squares problem, that is solved using the Broyden–Fletcher–Goldfarb–Shanno (BFGS) method. Anthropization data show how the urban area grew during the study period: 37% (1950–1960), 53% (1960–1970), 80% (1970–1980), 35% (1980–1990), 39% (1990–2000), 38% (2000–2010), and 11% (2010–2019), mostly at the expense of agricultural land. The forecast for new power network users by 2050 yields a result of 203,630 total users with a population density of 4850 people/km2. The conclusion is that this type of analysis can help city planners and decision makers further understand city and infrastructure growth dynamics and produce policies that bolster sustainable city growth.

scholarly journals Uma Análise da Produção Técnica e de Colégios Invisíveis com Ênfase nas Patentes Brasileiras

2021 ◽  
Author(s):  
Thiago Magela Rodrigues Dias ◽  
João Vitor de Melo Machado ◽  
Patrícia Mascarenhas Dias
Keyword(s):  
Social Network ◽  
Scientific Collaboration ◽  
Temporal Analysis ◽  
Collaboration Network ◽  
Collaboration Networks ◽  
Collaboration Process ◽  
Network Metrics ◽  
Technical Products ◽  
Identification And Characterization

Analyzes of scientific collaboration networks have been extensively explored in research from different areas of knowledge, in view of their ability to identify how groups of researchers have carried out their work collectively. Such studies make it possible to identify how collaboration between individuals occurs through analyzes based on social network metrics. In this context, new studies have been proposed in order to analyze collaboration in the development of technical products, with data on patents being studied in most studies. This type of analysis is relevant because it makes it possible to understand the collaboration process in the proposal of new inventions. In this work, initially a general characterization of the group of individuals analyzed is presented, and afterwards, a global and temporal analysis of the collaboration network is performed in the proposal of patents of Brazilian individuals with curricula registered in the Lattes Platform. For that, all the patents registered in the curricula of these individuals were used for the identification and characterization of the collaboration networks. As a result, it is possible to see how collaboration in the proposed inventions of the analyzed set has been intensified over the years, with an emphasis on the institutions and areas of expertise of each inventor.

scholarly journals The Influence of Author Degree Centrality and L-Index on Scientific Performance of Physical Education and Training Papers in China Based on the Perspective of Social Network Analysis

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Bin Zhang ◽  
Jian Wu ◽  
Qian Huang ◽  
Yujiao Tan ◽  
Lu Zhang ◽  
...  
Keyword(s):  
Social Network ◽  
Scientific Collaboration ◽  
Research Performance ◽  
Degree Centrality ◽  
Collaboration Networks ◽  
Scientific Cooperation ◽  
Scientific Performance ◽  
H Index ◽  
Network Characteristics ◽  
And Training

With the increasing frequency of scientific cooperation, research on the impact of scientific cooperation on scholars’ scientific performance has become a hot topic in academic research. This paper mainly uses quantitative research methods such as bibliometrics and social network analysis to analyze the correlation between degree centrality, L-index, and scientific performance of the Chinese author of Physical Education and Training Science and draws the following conclusions: (1) degree centrality is positively correlated with the number of papers, average citations per paper, and H-index and (2) L-index is positively correlated with the number of papers, average citations per paper, and H-index. Unlike previous studies on scientific collaboration networks and scholars’ performance that focused on traditional network characteristics indicators, this study introduces a new network characteristics indicator, L-index, through which the degree of collaboration between authors and other important authors in the research field can be better assessed, which also provides a new direction for research related to research collaboration networks and scholars’ performance; at the same time, it also provides a theoretical basis for subsequent research on the utility of scientific collaboration, a reference for the assessment of the research performance of scholars in other disciplines, and a theoretical reference for more scientific and comprehensive prediction of scholars’ research performance in the future.

MapTap and Cornelia Slow Digital Art History and Formal Art Historical Social Network Research

2016 ◽  
Vol 79 (3) ◽  
pp. 315-330 ◽  
Author(s):  
Koenraad Brosens ◽  
Klara Alen ◽  
Astrid Slegten ◽  
Fred Truyen
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Early Modern ◽  
Data Model ◽  
Art History ◽  
Digital Art ◽  
Unique Data ◽  
Network Research ◽  
Custom Made

Abstract The essay introduces MapTap, a research project that zooms in on the ever-changing social networks underpinning Flemish tapestry (1620 – 1720). MapTap develops the young and still slightly amorphous field of Formal Art Historical Social Network Research (FAHSNR) and is fueled by Cornelia, a custom-made database. Cornelia’s unique data model allows researchers to organize attribution and relational data from a wide array of sources in such a way that the complex multiplex and multimode networks emerging from the data can be transformed into partial unimode networks that enable proper FAHSNR. A case study revealing the key roles played by women in the tapestry landscape shows how this kind of slow digital art history can further our understanding of early modern creative communities and industries.

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