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Featured article | From free text to clusters of content in health records: an unsupervised graph partitioning approach

Free text constitutes a large portion of electronic healthcare records data, yet this source of richly detailed information often remains under-used because of a lack of suitable methodologies to extract interpretable content in a timely manner. Authors apply network-theoretical tools to the analysis of free text in Hospital Patient Incident reports in the English National Health Service, to find clusters of reports in an unsupervised manner and at different levels of resolution.

Call for papers: Complexity and the City

This new article collection is dedicated to studies modeling, characterizing, optimizing, and controlling complex and networked systems, with a particular focus on urban environments, in a wide range of topics. Click on the above link for all details.

Expression of interest/abstract submission: Feb 17, 2019
Full paper submission: Apr 30, 2019 

Call for papers: Machine learning with graphs

We invite submissions to a new article collection that aims to help us better understand the principles, limitations, and applications of current graph-based machine learning methods, and to inspire research on new algorithms, techniques, and domain analysis for machine learning with graphs. Read more in the link above.

Submission deadline: Mar 1, 2019 

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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

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

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

Modeling, analyzing and mining feature-rich networks
Guest editors: Roberto Interdonato, Martin Atzmueller, Sabrina Gaito, Rushed Kanawati, Christine Largeron, Alessandra Sala

Community structure in networks
Guest editors: Gergely Palla, Hocine Cherifi, Boleslaw K. Szymanski

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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

Modeling, analyzing and mining feature-rich networks
Guest editors: Roberto Interdonato, Martin Atzmueller, Sabrina Gaito, Rushed Kanawati, Christine Largeron, Alessandra Sala

Community structure in networks
Guest editors: Gergely Palla, Hocine Cherifi, Boleslaw K. Szymanski

All 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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2018 Journal Metrics

  • Speed
    67 days to first decision for reviewed manuscripts only
    67 days to first decision for all manuscripts
    141 days from submission to acceptance
    29 days from acceptance to publication

    Usage 
    140,375 downloads
    979 Altmetric mentions

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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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