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.Mentoring Undergraduate Researchers: A Practical Guide for Graduate Student Mentors. ![]() Statistical and Machine Learning Workshop.Getting machine learning experiments right - introduction to cross-validation.Beginners workshop: High Performance Computing Tools for Research.Academic Workflow Strategies: Note-taking and Citation Management Hands-On Tutorial.How to make effective presentations efficiently.How to create a GitHub Pages personal website.Graduate Data Science Career & Internship Fair 2019.
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