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Future Internet, Volume 13, Issue 1

January 2021 - 21 articles

Cover Story: In this study, machine learning and expert knowledge are employed to classify web pages according to the degree of content adjustment to the search engine optimization (SEO) recommendations. The experimental results show that machine learning can be used to predict the degree of adjustment of web pages to the SEO recommendations. The practical significance of the proposed approach is in providing the core for building software agents to automatically detect web pages, or parts of web pages, that need improvement to comply with the SEO guidelines and, therefore, potentially gain higher rankings by search engines. The results of this study enable the determination of optimal values of ranking factors that search engines use to rank web pages. View this paper.
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Articles (21)

  • Article
  • Open Access
7 Citations
4,822 Views
21 Pages

19 January 2021

Tasks that imply engagement of visual-spatial working memory (VSWM) are common in interaction with two-dimensional graphical user interfaces. In our paper, we consider two groups of factors as predictors of user performance in such tasks: (1) the met...

  • Article
  • Open Access
13 Citations
3,885 Views
10 Pages

A Classifier to Detect Informational vs. Non-Informational Heart Attack Tweets

  • Ola Karajeh,
  • Dirar Darweesh,
  • Omar Darwish,
  • Noor Abu-El-Rub,
  • Belal Alsinglawi and
  • Nasser Alsaedi

16 January 2021

Social media sites are considered one of the most important sources of data in many fields, such as health, education, and politics. While surveys provide explicit answers to specific questions, posts in social media have the same answers implicitly...

  • Article
  • Open Access
5 Citations
4,444 Views
23 Pages

16 January 2021

With the increased use of Social Networking Sites and Apps (SNSAs) in Saudi Arabia, it is important to consider the impact of this on the social lives of tertiary students, who are heavy users of such technology. A mixed methods study exploring the e...

  • Article
  • Open Access
17 Citations
12,257 Views
18 Pages

15 January 2021

The aim of this paper is to examine the influence of the content elements of online banner ads on customers’ visual attention, and to evaluate the impacts of gender, discount rate and brand familiarity on this issue. An eye-tracking study with...

  • Article
  • Open Access
2 Citations
3,785 Views
13 Pages

14 January 2021

As the Enron scandal and Bernie Madoff’s pyramid scheme have shown, individuals’ attitude towards ethical risks can have a huge impact on society at large. In this paper, we compare risk-taking attitudes assessed with the Domain-Specific...

  • Article
  • Open Access
8 Citations
3,044 Views
12 Pages

12 January 2021

Information-centric networks (ICNs) have received wide interest from researchers, and in-network caching is an important characteristic of ICN. The management and placement of contents are essential due to cache nodes’ limited cache space and t...

  • Article
  • Open Access
9 Citations
5,841 Views
15 Pages

Cyberbullying Analysis in Intercultural Educational Environments Using Binary Logistic Regressions

  • José Manuel Ortiz-Marcos,
  • María Tomé-Fernández and
  • Christian Fernández-Leyva

9 January 2021

The goal of this study is to analyze how religion, ethnic group, and race influence the likelihood of becoming either a cybervictim or cyberbully in intercultural educational environments. In the research, 755 students in secondary education were ana...

  • Article
  • Open Access
30 Citations
5,833 Views
13 Pages

8 January 2021

The prevalence of Parkinson’s disease increases a tremendous medical and economic burden to society. Therefore, the effective drugs are urgently required. However, the traditional development of effective drugs is costly and risky. Drug repurpo...

  • Article
  • Open Access
31 Citations
7,555 Views
10 Pages

7 January 2021

The current global crisis caused by COVID-19 almost halted normal life in most parts of the world. Due to the long development cycle for new drugs, drug repositioning becomes an effective method of screening drugs for COVID-19. To find suitable drugs...

  • Article
  • Open Access
8 Citations
3,819 Views
23 Pages

Design and Implementation of Virtual Security Function Based on Multiple Enclaves

  • Juan Wang,
  • Yang Yu,
  • Yi Li,
  • Chengyang Fan and
  • Shirong Hao

6 January 2021

Network function virtualization (NFV) provides flexible and scalable network function for the emerging platform, such as the cloud computing, edge computing, and IoT platforms, while it faces more security challenges, such as tampering with network p...

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Future Internet - ISSN 1999-5903Creative Common CC BY license