Skip to main content

Journal News

We are delighted to announce that Applied Network Science has now been selected for inclusion in the Emerging Sources Citation Index (ESCI) of Web of Science. All articles published after 01 January, 2019 will be included in ESCI, and hence will be discoverable on the Web of Science platform. We would like to thank all our editors, authors, and readers for their support and contribution to the journal.

Special Issue on Community Structure in Networks 2021

This special issue includes papers ranging from a broad nature to various aspects of community structure with strong algorithmic innovations as well as application-oriented works. The primary goal of COMNET@NETWORKS 2021 is to demonstrate the cutting-edge research advances in community structures in networks in order to provide a landscape of research progress and application potentials in related areas.

Networked Inequality: Studies on Diversity and Marginalization

There are many ways that network science can be used to reduce inequality, including identifying at-risk people and communities, highlighting opportunities for network interventions, interrogating power imbalances, revealing identity-based biases, and under representation across a variety of domains (human mobility, public health, career success, political influence, scientific collaboration, etc.) This special issue aims to attract innovative original research that applies network science to study human inequality. The basis for inequality may be gender, race, age, sexual orientation, socioeconomic status, ability, and/or any other factors that lead to marginalization. The importance of such studies has been recognized by the United Nations, where at least two Sustainable Development Goals are related to the special issue: SDG5 (Gender Equality) and SDG10 (Reduction of Inequalities).

Special Issue of the French Regional Conference on Complex Systems

FRCCS 2021 is the first edition of the French Regional Conference on Complex Systems. It brings together members of the scientific community working in complex systems from various disciplines (archaeology, biology, computer science, economics, geography, history, linguistics, management, mathematics, medicine, physics, statistics, sociology). 

Guest Editors: C. Bertelle, D. Chavalarias, C. Cherifi, H. Cherifi, B. Jouve, H. Kheddouci, B. Renoust

Featured article: Dank or not? Analyzing and predicting the popularity of memes on Reddit

This article analyses an interesting dataset of nearly 130,000 memes posted on Reddit at the outset of the COVID-19 pandemic, during March 2020. Using state-of-the-art machine learning techniques, the authors investigate the potential of image related attributes over textual attributes in determining the popularity of memes on social media networks, and show content alone can reasonably predict which memes have the potential to go viral. Besides the detailed analysis, this article provides an interesting and timely insight into the minds of social media users amidst the pandemic.

Articles

2021

Special Issue of the French Regional  Conference on Complex Systems
Guest Editors: C. Bertelle, D. Chavalarias, C. Cherifi, H. Cherifi, B. Jouve, H. Kheddouci, B. Renoust

Urban Complex Systems
Guest Editor: S. Gaito, H. Cherifi, R. Interdonato, H. Kheddouci, M. Zignani 

Special Issue of the 9th International Conference on Complex Networks and Their Applications
Guest Editors: C. Cherifi, R. Criado, R. Interdonato, J. Javier Ramasco, M. Sales-Pardo, M. Zignani

2020

Epidemics Dynamics & Control on Networks
Guest editors: Matjaž Perc, B. M. Althouse, H. Cherifi, J. C Miller, C. Poletto,  G. Rosseti, O. Varol

Special Issue of the 8th International Conference on Complex Networks and Their Applications
Guest editors: Chantal Cherifi, Roberto Interdonato, Manuel Marques-Pita, Michael Schaub, Matteo Zignani

2019

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

Global flow of commodity, money, humans, and knowledge
Guest editors: Yuichi Ikeda, Guido Caldarelli, Maximilian Schich, Teruyoshi Kobayashi, Irena Vodenska

Structure and dynamics of crime
Guest editors: Bruno Requião da Cunha, Gisela Bichler, Luiz G. A. Alves, Marcos Oliveira, Toby Davies

Blockchain and cryptocurrencies
Guest editors: Bruno Goncalves, Marco Alberto Javarone, Claudio J. Tessone

Complexity and the City
Guest editors: Luca Maria Aiello, Amin Anjomshoaa, Elsa Arcaute, Alessandro Rizzo, Neal Zachary

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

Machine learning with graphs
Guest editors: Austin Benson, Ciro Cattuto, Shobeir Fakhraei, Danai Koutra, Vagelis Papalexakis, Jiliang Tang


2018

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


2017

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


2016

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

Latest Tweets

Your browser needs to have JavaScript enabled to view this timeline

Ongoing collections

Special Issue of the French Regional  Conference on Complex Systems
Guest Editors: C. Bertelle, D. Chavalarias, C. Cherifi, H. Cherifi, B. Jouve, H. Kheddouci, B. Renoust

Urban Complex Systems
Guest Editor: S. Gaito, H. Cherifi, R. Interdonato, H. Kheddouci, M. Zignani 

Special Issue of the 9th International Conference on Complex Networks and Their Applications
Guest Editors: C. Cherifi, R. Criado, R. Interdonato, J. Javier Ramasco, M. Sales-Pardo, M. Zignani

Epidemics Dynamics & Control on Networks
Guest editors: Matjaž Perc, B. M. Althouse, H. Cherifi, J. C Miller, C. Poletto,  G. Rosseti, O. Varol



All current and past 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.

Annual journal metrics

Abstract and indexing coverage
CNKI
dblp
DOAJ
EBSCO Academic Search
EBSCO Discovery Service
EBSCO STM Source
EBSCO TOC Premier 
ESCI
Google Scholar
Inspec
OCLC
ProQuest - Summon
Scopus

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