![]() ![]() It produces bitmap (PNG) and vector (SVG) images using plain text configuration and input files which makes it very appealing for its ease of use. Circos is written in Perl and can be deployed on any operating system for which Perl is available. This package was created by Martin Krzywinski, who released it to the world in 2009 with his paper: “Circos: an Information Aesthetic for Comparative Genomics”. Reviewed by Danielle Middlebrooks and Muzi LiĬircos is a free software package used for visualizing data and information. Along with this, due to this being published work, some of the workflows are not strictly formatted to be in an easy to follow, tutorial format. Second, because the journal is publishing network science articles, the work is only as good as what it is used for – therefore this source cannot entirely be used as a direct method for learning network science, but instead can give ideas and examples for how one can apply network science methods based on the work and workflows published and presented within the articles. The journal also seems to be relatively new (with the first collections starting in 2016), so it may not be at the forefront, yet. The journal has a good, but not great impact score (~2 impact score, ~13 h-index). The articles are retained in the digital archives which allows for long-term digital preservation and availability in other databases (e.g., PubMed Central and Web of Science/Clarivate Analytics). The journal fee could be covered if the corresponding author’s institution participates in open access membership program. Authors retain copyright and are free to reproduce and disseminate their work. The journal has press coverage and promotion opportunities. The online publication format allows for more flexibility, particularly related to data visualization potential. There is a relatively fast speed of publication, specifically 140 days from submission to acceptance and 40 days from acceptance to publication. All submissions are peer-reviewed (although, the method is a single-blind peer review). The journal boasts high visibility stemming from its coordination with the SpringerOpen open science mission. There are various strengths and weaknesses of the journal. The Applied Network Science Journal is aimed towards researchers, students, professionals who would benefit from keeping up with or adding to knowledge related to network science theories and applications. This journal has a few main focuses, namely: novel or anticipated network science applications, technologies for complex network methodologies, innovative modeling approaches to encourage more widespread use, and real-world applications. It is interdisciplinary in nature and contains papers from fields that benefit from quantitative network-based modeling, particularly from newly emerging research areas. ![]() The Applied Network Science Journal is an open-access and strictly peer reviewed journal. Reviewed by Asha Pavuluri and Sylvester Gates Network Epidemiology Online Workshop Series.Tex’ What You Can Get: Introduction to LaTeX for Academic Writing.“Git” it Together: Tools for Reproducible Science.Go with the (Tensor)Flow: Training simple neural networks using Keras. ![]()
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