Destinations and the Web: A Network Analysis View

2011 ◽  
Vol 13 (3) ◽  
pp. 215-228 ◽  
Author(s):  
Roland Piazzi ◽  
Rodolfo Baggio ◽  
Julia Neidhardt ◽  
Hannes Werthner
Keyword(s):  
Network Analysis ◽  
The Web

scholarly journals Thirty Years of Human Rights Study in the Web of Science Database (1990–2020)

2021 ◽  
Vol 18 (4) ◽  
pp. 2131
Author(s):  
Priscilla Paola Severo ◽  
Leonardo B. Furstenau ◽  
Michele Kremer Sott ◽  
Danielli Cossul ◽  
Mariluza Sott Bender ◽  
...  
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Human Rights ◽  
Network Analysis ◽  
Reproductive Health ◽  
Web Of Science ◽  
Health Issues ◽  
Human Beings ◽  
Field Of Study ◽  
The Web

The study of human rights (HR) is vital in order to enhance the development of human beings, but this field of study still needs to be better depicted and understood because violations of its core principles still frequently occur worldwide. In this study, our goal was to perform a bibliometric performance and network analysis (BPNA) to investigate the strategic themes, thematic evolution structure, and trends of HR found in the Web of Science (WoS) database from 1990 to June 2020. To do this, we included 25,542 articles in the SciMAT software for bibliometric analysis. The strategic diagram produced shows 23 themes, 12 of which are motor themes, the most important of which are discussed in this article. The thematic evolution structure presented the 21 most relevant themes of the 2011–2020 period. Our findings show that HR research is directly related to health issues, such as mental health, HIV, and reproductive health. We believe that the presented results and HR panorama presented have the potential to be used as a basis on which researchers in future works may enhance their decision making related to this field of study.

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.

Automated Detection of SQL Injection Attack on Blockchain-Based Database

2021 ◽  
pp. 321-341
Author(s):  
Keshav Sinha ◽  
Amit Kumar Keshari
Keyword(s):  
Network Analysis ◽  
Denial Of Service ◽  
Automated Detection ◽  
Distributed Environment ◽  
Sql Injection ◽  
Insider Attack ◽  
Challenging Tasks ◽  
Sql Injection Attack ◽  
The Web

In the era of computing, where the data are stored in a cloud or distributed environment, the privacy of data is one of the challenging tasks. The attacks like denial of service attacks (DoS), insider attack compromised the security of the system. In this chapter, the authors discussed a blockchain-based database, where data are encrypted and stored. The Web API is used as an interface for the storage and sharing of data in the blockchain system. There are several types of attacks that are performed by the adversary on the database to destroy the vulnerability of the system. Here, the authors are mainly focused on the SQL injection attack which is performed by the adversary on Web API. To cope with this problem, they present the case study based on the Snort and Moloch for automated detection of SQL attack, network analysis, and testing of the system.

The architecture of the addiction lobby

2017 ◽  
Author(s):  
David Miller ◽  
Claire Harkins ◽  
Matthias Schlögl ◽  
Brendan Montague
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Think Tanks ◽  
The Other ◽  
Food Industries ◽  
The Web

This chapter uses social network analysis to explore the web of influence of the four ‘addictive’ industries examined in the book: alcohol, tobacco, food, and gambling. The data are used to paint an overall picture before taking a closer look in subsequent chapters. The four industries form more or less separated clusters, and whereas the alcohol and food industries are very well interconnected, the gambling and tobacco industries are only loosely tied to the others. The network also shows that advertising and marketing sectors and think tanks often act as connecting hubs between the industries. The closer look at the clusters of the four industries shows some important differences. The food cluster is more heterogeneous than the others are; the alcohol cluster contains product-related subclusters; and gambling, as well as tobacco, is smaller and less dense compared with the other two.

Network Analysis of Publications on Topological Indices from the Web of Science

2014 ◽  
Vol 33 (8) ◽  
pp. 514-535 ◽  
Author(s):  
Jernej Bodlaj ◽  
Vladimir Batagelj
Keyword(s):  
Network Analysis ◽  
Web Of Science ◽  
Topological Indices ◽  
The Web

scholarly journals Scientific authorship and collaboration network analysis on malaria research in Benin: papers indexed in the web of science (1996–2016)

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Roseric Azondekon ◽  
Zachary James Harper ◽  
Fiacre Rodrigue Agossa ◽  
Charles Michael Welzig ◽  
Susan McRoy
Keyword(s):  
Network Analysis ◽  
Web Of Science ◽  
Collaboration Network ◽  
Malaria Research ◽  
Scientific Authorship ◽  
The Web

scholarly journals Analysis of publications about strategy as practice: a mapping of the field by means of bibliometric and sociometric studies

2015 ◽  
Vol 8 (2) ◽  
pp. 118
Author(s):  
André Luís Janzkovski Cardoso
Keyword(s):  
Network Analysis ◽  
Main Group ◽  
Intellectual Structure ◽  
Statistical Techniques ◽  
Evolutionary Patterns ◽  
Before And After ◽  
Practice Approach ◽  
Strategy As Practice ◽  
The Web

The objective of this study is to present a comparative board of the evolution of the strategy as practice approach by means of sociometric and bibliometric analyzes combined with statistical techniques applied to the set of papers available on the Web Isi of Knowledge. The analyzes of periods before and after 2007 indicates evolution on the main group of authors of the strategy as practice approach, but yet with a high amount of peripheral authors. Results indicated a relationship between bibliometric and sociometric data and evidenced that network analysis is a relevant tool for treating data allowing the comprehension of the intellectual structure of a discipline, the identification of significant differences between periods in terms of productivity of authors and the inference about possible evolutionary patterns.

scholarly journals Anarchism in the Web of Transnational Social Movements

2019 ◽  
Vol 25 (2) ◽  
pp. 373-394 ◽  
Author(s):  
Christopher Chase-Dunn ◽  
John Aldecoa ◽  
Ian Breckenridge-Jackson ◽  
Joel S. Herrera
Keyword(s):  
Network Analysis ◽  
Political Values ◽  
Contemporary World ◽  
Transnational Social Movements ◽  
The Social ◽  
The World ◽  
Formal Network ◽  
The 19Th Century ◽  
Local Levels ◽  
The Web

Anarchists have played a visible and significant role in global civil society since the 19th century and in the New Global Left since it emerged in the 1990s. Horizontalism and social libertarianism have been central components of the contemporary World Revolution and were also important in the world revolutions of 1968 and 1989. Anarchists have participated in the Social Forum process at the global, national and local levels and, in various ways, have influenced the contemporary world revolution far beyond their numbers. We use surveys from Social Forums to examine how self-identified actively involved anarchists are similar or different from other attendees. We also conduct a formal network analysis to examine the links that the anarchists have with other social movement themes. Despite the small number of self-identified anarchists, our findings suggest that anarchist organizational approaches and political values are widely shared among the activists who have been involved in the Social Forum process.

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 Risk in agriculture: An overview of the theoretical insights and recent development trends during last decade – A review

2019 ◽  
Vol 65 (No. 9) ◽  
pp. 435-444 ◽  
Author(s):  
Lina Novickytė
Keyword(s):  
Network Analysis ◽  
Bibliometric Analysis ◽  
Web Of Science ◽  
Recent Decade ◽  
Future Research ◽  
Scientometric Analysis ◽  
Development Trends ◽  
Policy Makers ◽  
Research Areas ◽  
The Web

The main purpose of this paper is to provide a detailed overview of the theoretical insights and recent development trends on risk in agriculture. It focuses on the synthesis and analysis of the research studies published over the period from 2008 through 2018 and aims to identify major findings obtained over the recent decade and determine the areas for future research. This paper reviews a total of 397 unique publications retrieved from the international journals accessible in the Web of Science database. Based on different criteria deployed by the scientometric analysis, the selected articles have been reviewed and classified. The bibliometric analysis includes the citation volumes, authors, names of journals, research areas, affiliations, and contributing countries. The network analysis includes the examination of keywords. This article provides an opportunity for scholars, practitioners, and policy-makers to understand and manage risk in agriculture and at the same time presents a roadmap for future research in this field.

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