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.

scholarly journals Unpacking the “Black Box”: Understanding the Effect of Social Network Characteristics on Safety Behaviors of Construction Workers

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Shuquan Li ◽  
Pei Yang ◽  
Xiuyu Wu ◽  
Ge Wang ◽  
Meng Fan
Keyword(s):  
Social Network ◽  
Closeness Centrality ◽  
Construction Workers ◽  
Safety Behaviors ◽  
Degree Centrality ◽  
Construction Project Management ◽  
Informal Networks ◽  
Safety Communication ◽  
Network Characteristics ◽  
Safety Compliance

How to improve the safety behaviors of construction workers has dogged the realm of construction project management. Previous studies mainly focused on the individual and/or organizational factors shaping safety behaviors, while there is a dearth of research focusing on the effect of individual-organizational nexus (i.e., the network embeddedness of individuals within the organization). Thus, this study employs social network analysis (SNA) and multivariable regression analyses to explore the relationship between the characteristics of social networks of construction workers (i.e., degree, closeness, and betweenness centralities) and their safety behaviors (i.e., safety participation and safety compliance), considering the mediating role of safety communication. The primary data were collected from ten Chinese construction projects. The results include the following three aspects. First, degree centrality, closeness centrality, and betweenness centrality all exert significant positive effects on safety participation. Closeness centrality yields a positive effect on safety compliance in formal networks. Degree centrality has a positive effect on both safety compliance and safety participation, whereas the other two centrality characteristics exhibit no significant effect in informal networks. Second, in formal networks, safety communication plays a partial mediation role between closeness centrality and safety compliance and a full mediation role between degree and closeness centralities and safety participation. Third, in informal networks, safety communication plays a full mediation role between degree centrality and safety compliance and a partial mediation role between degree centrality and safety participation. This study provides new insights for construction project management in achieving improved safety performance via shaping the social network characteristics.

scholarly journals Influence of Scientific Collaboration Network on Academic Performance

2021 ◽  
Vol 16 (12) ◽  
pp. 68
Author(s):  
Xiangjin Xiao ◽  
Manoch Prompanyo
Keyword(s):  
Scientific Collaboration ◽  
Research Collaboration ◽  
Empirical Test ◽  
Research Performance ◽  
Scientific Research ◽  
Collaboration Network ◽  
Network Centrality ◽  
Network Stability ◽  
Scientific Performance ◽  
The Relationship

Collaboration in science is a complex phenomenon that affects scientific performance in various ways. Thus, understanding the influences of the research collaboration network is important for researchers. This paper explores the relationship between research collaboration network structural and scientific research performance and conducts an empirical test with data from 416 scholars. Findings revealed that network stability reduces the scholars' research performance, and network centrality promotes research performance. The network structural holes that the scholar spans, moderate the detrimental effects of network stability. This research provides suggestions for scholars to build a reasonable scientific research collaboration network to improve their research performance.

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 research performance of Iranian medical academics: a National Analyses

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Homayoun Sadeghi-Bazargani ◽  
Fahimeh Bakhtiary ◽  
Mina Golestani ◽  
Yasin Sadeghi-Bazargani ◽  
Nazila Jalilzadeh ◽  
...  
Keyword(s):  
International Collaboration ◽  
Academic Staff ◽  
Research Performance ◽  
Simple Random Sampling ◽  
Scientific Performance ◽  
H Index ◽  
Group Type ◽  
Number Of Publications ◽  
Number Of Citations

Abstract Background Scientometric studies are one of the most important and useful tools to assess the research performance and knowledge impact of researchers. The aim of this study was to map out the scientific performance of the Iranian medical academics with respect to a detailed range of scientometric indicators. Methods Using scientometric approach, individual and scientific performance data of medical academic staff were extracted from the Iranian Scientometric Information Database (ISID). Total number of publications, total number of citations, citation per paper, h-index, international collaboration, self-citation, SJR decile, i10-Index, Quartile distribution were the studied scientometric variables. Out of the registered 19,023 academic staff, 746 were included in the study through simple random sampling method using random sample extraction function in STATA. Data were analyzed using STATA 14 statistical software package. Results Most of the included academicians were men (60%). A total of 13,682 articles were published by them until 2018, being cited 114,928 times with a mean of 5.77 citation per paper. H-index median was three and about 90% of the staff had an H-index below 10. Number of published papers, cite per paper and H-index metrics were significantly different with respect to gender, academic position/degree, and general field of study (p < 0.05). About 2.5% of published articles were contributed through international collaboration. The scientometric performance of academic staff was highly diverse with respect to the employing institution and its national classification group (type 1, 2, 3). Conclusions Nevertheless to the great scientific production of medical academics, individual and institutional characteristics were identified as effective variables in academics research performance and should be considered in their assessment. Academicians affiliated with type 2 and 3 universities (based on national ranking of medical universities) had weaker research performance compared to those affiliated with type 1 universities. However, low rate of international research collaborations was a common challenge in medical universities.

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 Research Performance Measures and the Moderating Role of Faculty Characteristics in Epidemiology

2015 ◽  
Vol 8 (5) ◽  
pp. 72 ◽  
Author(s):  
Maryam Okhovati ◽  
Azam Bazrafshan ◽  
Morteza Zare ◽  
Mina Moradzade ◽  
Ali Mohammad Mokhtari
Keyword(s):  
Performance Measures ◽  
Regression Models ◽  
Web Of Science ◽  
Research Performance ◽  
Linear Regression Models ◽  
Scientific Performance ◽  
H Index ◽  
The Individual ◽  
Moderating Role

<p>Several numeric measures have been proposed to evaluate the individual researchers’ scientific performance. Among these measures, h-index is the most common and well recognized measure of research productivity and impact in scientific communities. However, empirical investigations and recent inspections revealed some shortcomings and limitations of this measure. In order to complement these limitations, several variants have been proposed in which g-index and ar-index were among the most discussed measures. The aim of this study was to examine h-index, g-index and ar-index across Iranian epidemiologists to identify the moderating characteristics as well as the distribution of these measures in the field. Using Web of Science Database, a list of Iranian epidemiologists was searched and total number of articles, total citations, and citations per paper, h-index, scientific age, g-index and ar-index were extracted and calculated for any epidemiologist. Descriptive statistics and multivariate linear regression models were used to examine research performance measures of Iranian epidemiologists. According to our findings, research performance measures found to be statistically associated with scientific age and academic ranking of Iranian Epidemiologists. Gender differences were not relevant to research performance across different measures.</p>

Social network characteristics of injection drug users in Montreal, Canada

2005 ◽  
Author(s):  
Prithwish De ◽  
Joseph Cox ◽  
Carole Morissette ◽  
Ann Jolly ◽  
Jean-Francois Boivin
Keyword(s):  
Social Network ◽  
Injection Drug Users ◽  
Drug Users ◽  
Injection Drug ◽  
Network Characteristics

The unknown acquaintance, or the impact factor and others

2007 ◽  
Vol 148 (4) ◽  
pp. 165-171
Author(s):  
Anna Berhidi ◽  
Edit Csajbók ◽  
Lívia Vasas
Keyword(s):  
Impact Factor ◽  
Citation Analysis ◽  
Index Number ◽  
Scientific Performance ◽  
H Index ◽  
Master List ◽  
The Many ◽  
The Impact

Nobody doubts the importance of the scientific performance’s evaluation. At the same time its way divides the group of experts. The present study mostly deals with the models of citation-analysis based evaluation. The aim of the authors is to present the background of the best known tool – Impact factor – since, according to the authors’ experience, to the many people use without knowing it well. In addition to the „nonofficial impact factor” and Euro-factor, the most promising index-number, h-index is presented. Finally new initiation – Index Copernicus Master List – is delineated, which is suitable to rank journals. Studying different indexes the authors make a proposal and complete the method of long standing for the evaluation of scientific performance.

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