Important Author Analysis in Research Professionals’ Relationship Network Based on Social Network Analysis Metrics

Pandia, Manoj Kumar; Bihari, Anand

doi:10.1007/978-81-322-2202-6_16

Cited by 11 publications

(5 citation statements)

References 22 publications

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“…Social network analysis is mainly used to analyze social networks’ relational structure and attributes for studying citation or collaborative relationships. 18 This study used social network analysis to structure the co-high frequency keywords and co-citation network related to PD. The high-frequency keywords and highly cited papers co-occurrence matrix constructed by BICOMB was imported into Ucinet software (6.0.0.186) and NetDraw (2.0.0.84) to create a visually represented network map.…”

Section: Methodsmentioning

confidence: 99%

Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme Trends

Wang,

Liu,

Bai

2023

JPR

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Purpose The global incidence of primary dysmenorrhea is continuously increasing, and understanding its research trends is crucial for effective pain management and women’s health. Therefore, this study aims to perform a comprehensive bibliometric analysis of primary dysmenorrhea research to identify hotspots, explore emerging trends, and provide valuable insights for future research endeavors. Material and Methods All of the relevant studies on primary dysmenorrhea in the Web of Science™ Core Collection database were searched for bibliometric analysis. Biclustering analysis using gCLUTO software was performed to identify research hotspots. Social network analysis with Ucinet was employed to reveal knowledge structure. Evolutionary analysis using SciMAT was utilized to predict thematic trends. Results A total of 903 papers were analyzed, indicating a gradual increase in research on primary dysmenorrhea in recent years, with the scope of research expanding and diversifying. We identified seven hotspots, three treatment nodes, and four thematic trends. Research hotspots focused on epidemiological studies, adolescent primary dysmenorrhea, drug and non-drug treatments. Within the realm of treatments, we have identified three treatment nodes: acupuncture, acupressure, and ibuprofen. The evolution of research has witnessed a shift from traditional epidemiological studies toward a more diverse research landscape. Adolescent primary dysmenorrhea is expected to remain a prominent research topic while dietary supplements and lifestyle are predicted to gain more attention. An emerging theme is the study of variation and polymorphism of circadian rhythm genes concerning primary dysmenorrhea. Conclusion This bibliometric analysis provides valuable insights into the current state of research on primary dysmenorrhea, offering a clearer understanding of the field’s landscape. The identified hotspots, knowledge structure, and thematic trends can serve as valuable references for future investigations in this area. The research holds significant scientific importance and innovative value in elucidating the mechanisms of primary dysmenorrhea and finding more effective treatment approaches.

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Section: Methodsmentioning

confidence: 99%

Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme Trends

Wang,

Liu,

Bai

2023

JPR

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“…Social networks are social structures composed of individuals (or organizations) called “nodes” that are linked together by one or more specific types of interdependence. 12 The main purpose of social network analysis is to represent the location of research nodes in a multi-relation network and the grid structure containing multiple relations. Network analysis could provide a clear understanding of the role of nodes in the social structure.…”

Section: Methodsmentioning

confidence: 99%

Bibliometric and Visual Analysis of the Current Status and Trends of Postoperative Pain in Children from 1950–2021

Liu¹,

Bai²

2022

JPR

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Background Postoperative pain in children has been overlooked for a long time. The knowledge structure, research hotspots and trends related to postoperative pain in children are unclear and have not been systematically summarized. Purpose We aimed to analyze the current state of research on postoperative pain in children and to conduct in-depth mining of the knowledge structure. Methods The PubMed database for publications on postoperative pain in children between 1950 and 2021 was searched. Bibliographic Item Co-Occurrence Matrix Builder (BICOMB) was performed to obtain the co-word matrix and co-occurrence matrix. The H-index method was used to extract high-frequency main Medical Subject Headings (MeSH) terms/subheadings. Results The high-frequency MeSH terms were analyzed by biclustering, strategic diagram and social network analyses. Totally, 4022 publications were retrieved. The analysis showed that 60 countries or regions published relevant documents, with the United States publishing the most significant number of papers. Totally, 811 journals published relevant papers, with Pediatric Anesthesia ranking first. Moreover, we extracted 43 high-frequency main MeSH terms/subheadings and clustered them into five categories: overview, aetiology and epidemiology, pharmacotherapy, opioid administration and dosing, and prevention and control of postoperative pain in children. Conclusion Pharmacological treatments, pain prevention and control are the focus of research and are becoming increasingly mature. Opioid stewardship and regional anesthesia is the trend and focus of future research. Our study offers a better understanding of the current status and knowledge structure of postoperative pain in children and provides a reference for improving postoperative pain management in children in the future.

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“…In order to quantitatively study the interrelationship between the primary indicators of international energy investment and trade networks, as well as the correlation between the occurrence frequency of significant motifs of investment and trade networks, the Pearson correlation coefficient method is adopted in this paper. Assuming that there are two variables, X and Y, their correlation can be expressed as (Pandia and Bihari, 2015)…”

Section: Correlation Between Indicatorsmentioning

confidence: 99%

Microscopic, mesoscopic, and macroscopic structural correlations between the international energy “investment–trade” networks based on network motifs

2023

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In recent years, international energy investment and energy trade activities have developed rapidly. Because energy has commodity and financial product attributes, there is often a correlation between international energy trade and investment. This correlation has regional specificity due to the uneven geographical distribution of energy production and consumption. The existing literature mainly studies the correlation between the international energy “investment–trade” systems from a macroscopic or microscopic perspective. However, the relationship between them among countries from a mesoscopic perspective has not been fully demonstrated. With the development of economic globalization, we need to pay attention to whether the energy trade model of countries can reflect their preference for choosing investment partners and whether the energy investment model can reflect energy trade cooperation. In this paper, by taking the frontier approach of network motifs, we analyzed the correlation between international energy trade and investment from more than 200 economies worldwide from the macroscopic perspective, microscopic perspective, and local structure from a mesoscopic perspective. Meanwhile, we compared the results of the study in 2018 with those in 2022 to obtain the impact of international events on the international energy “investment–trade” networks. We found that 1) the structures of energy trade and investment networks are similar from a macroscopic perspective, which is the basis for exploring the correlation between energy trade and investment. 2) Bilateral cooperation and transaction transmission are important local structures of energy trade and energy investment activities. 3) The formation of an equal and close local structure among economies in energy trade is more likely to be preferred for investment cooperation, and forming a representative local structure with statistical significance among economies in energy investment is more likely to obtain energy trade cooperation. This work innovatively adopts motifs to study the correlation between energy investment and trade, which can help energy investors predict the direction of investment and provide guidance to governments in formulating energy trade policies.

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Important Author Analysis in Research Professionals’ Relationship Network Based on Social Network Analysis Metrics

Cited by 11 publications

References 22 publications

Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme Trends

Knowledge Mapping of Primary Dysmenorrhea: Hotspots, Knowledge Structure, and Theme Trends

Bibliometric and Visual Analysis of the Current Status and Trends of Postoperative Pain in Children from 1950–2021

Microscopic, mesoscopic, and macroscopic structural correlations between the international energy “investment–trade” networks based on network motifs

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