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Featured article: Comparison of physician networks constructed from thresholded ties versus shared clinical episodes

Data on traditional Medicare beneficiaries from 51 US representative geographical regions were used to compare standard methods for constructing physician networks from patient-physician encounter data with a new method based on clinical episodes of care. The analysis shows that constructing physician networks around shared episodes of care is a clinically sound alternative to previous approaches to network construction that does not require arbitrary decisions about thresholding. The resulting networks capture somewhat different aspects of patient-physician encounters.

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Call for papers: Modeling, analyzing and mining feature-rich networks

This article collection aims to provide insights into innovative methods to model, analyze and mine feature-rich networks inspired from different fields, incentivizing domain-driven approaches that can drive the design of novel network models.

Full paper submission: November 5, 2018
More information here.

Call for papers: Community structure in networks

A new article collection dedicated to the cutting edge research advances on community structures in networks, in order to provide a landscape of research progresses and application potentials in related areas, is open for submissions. 

Full paper submission: November 12, 2018
Read more here.

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Modeling, computation and prediction in complex networks
Guest Editor: Adam Wierzbicki

Special Issue of the 4th International Workshop on Complex Networks and Their Applications
Guest Editors: Chantal Cherifi and Hocine Cherifi

Special Issue on the 7th International Workshop on Complex Networks
Guest Editors: Bruno Gonçalves and Roberta Sinatra

Special Issue on the 5th International Workshop on Complex Networks and Their Applications
Guest Editors: Sabrina Gaito, Walter Quattrociocchi and Alessandra Sala

Special Issue on the 6th International Workshop on Complex Networks and Their Applications
Guest Editors: Sabrina Gaito, Marton Karsai and Hamamache Kheddouci

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ANS accepted in Scopus

We are very pleased to announce that Applied Network Science has been accepted for inclusion in Scopus. 

We would like to thank everyone for supporting ANS and contributing to this success.

Ongoing collections

Network medicine in the era of big data in science and healthcare​​​​​​​
Guest Editors: Amitabh Sharma, Marc Santolini and Emre Guney

Special Issue of the 6th International Workshop on Complex Networks and Their Applications
Guest Editors: Sabrina Gaito, Marton Karsai and Hamamache Kheddouci

Other article collections can be found here.

Aims and scope

Applied Network Science (ANS) is an open-access and strictly peer-reviewed journal giving researchers and practitioners in the field the ability to reach a larger audience. ANS encompasses all established and emerging fields that have been or can be shown to benefit from quantitative network-based modeling. Contributions from all fields of science, technology, medicine and humanities will be considered, in particular from newly emerging research areas formed and developing at the interfaces of presently established sub-disciplines.

The focus of the journal is based on novel or anticipated applications of network sciences, on related techniques that may be used in applications of complex network methodologies, and on innovative modeling approaches that will enhance specific applications and lead to more widespread use of network science concepts. Overall, articles that have a direct application to real world problems form the core publications of this journal.

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2017 Journal Metrics

  • Speed
    66 days from submission to first decision
    127 days from submission to acceptance
    29 days from acceptance to publication

    Usage 
    39,939 downloads
    312 Altmetric mentions

Institutional membership

Visit the membership page to check if your institution is a member and learn how you could save on article-processing charges (APCs).

Funding your APC

​​​​​​​Open access funding and policy support by SpringerOpen​​

​​​​We offer a free open access support service to make it easier for you to discover and apply for article-processing charge (APC) funding. Learn more here


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