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Special Issue of the 9th International Conference on Complex Networks and Their Applications

New Content Item

Since 2012, the International Conference on Complex Networks and Their Applications (COMPLEX NETWORKS) brings together researchers from different scientific communities working on areas related to Network Science in order to cross-fertilize ideas among scientists, For the ninth edition of this annual event, 362 submissions have been received from around the world. The contributions selected for submission to this special issue reflect the latest problems, advances, and diversity within the Network Science community. 

Submission

The submission article must be original, unpublished and not currently reviewed by other journals. Authors must mention in their cover letter for each SI manuscript that the particular manuscript is for the theme and name of Guest Editors of SI consideration so that the Guest Editors can be notified separately. Please visit https://www.editorialmanager.com/apns

When submitting your paper please select the article type "CNA2020"

Lead Guest Editor

Chantal Cherifi, University of Lyon, France
chantal.bonnercherifi@univ-lyon2.fr

Guest Editors

Regino Criado, Universidad Rey Juan Carlos, Spain
regino.criado@urjc.es

Roberto Interdonato, CIRAD, France
roberto.interdonato@cirad.fr

José Javier Ramasco, IFISC, Spain
jramasco@ifisc.uib-csic.es

Marta Sales-Pardo, Universitat Rovira i Virgili, Spain
marta.sales@urv.cat

Matteo Zignani, Università degli Studi di Milano, Italy
matteo.zignani@gmail.com


For more information please contact the editors. See below published papers in this issue.


  3. Inequality perceptions differ along racial and gendered lines. To explain these disparities, we propose an agent-based model of localised perceptions of the gender and racial wage gap in networks. We show that...

    Authors: Daniel M. Mayerhoffer and Jan Schulz
    Citation: Applied Network Science 2022 7:32
    Content type: Research Published on:

  4. Path homology is a powerful method for attaching algebraic invariants to digraphs. While there have been growing theoretical developments on the algebro-topological framework surrounding path homology, bona fide ...

    Authors: Samir Chowdhury, Steve Huntsman and Matvey Yutin
    Citation: Applied Network Science 2022 7:4
    Content type: Research Published on:

  6. The rapidly increasing biological literature is a key resource to automatically extract and gain knowledge concerning biological elements and their relations. Knowledge Networks are helpful tools in the contex...

    Authors: Alessandro Muscolino, Antonio Di Maria, Rosaria Valentina Rapicavoli, Salvatore Alaimo, Lorenzo Bellomo, Fabrizio Billeci, Stefano Borzì, Paolo Ferragina, Alfredo Ferro and Alfredo Pulvirenti
    Citation: Applied Network Science 2022 7:1
    Content type: Research Published on:

  7. Complex networks lend themselves for the modeling of multidimensional data, such as relational and/or temporal data. In particular, when such complex data and their inherent relationships need to be formalized...

    Authors: Stefan Bloemheuvel, Jurgen van den Hoogen and Martin Atzmueller
    Citation: Applied Network Science 2021 6:97
    Content type: Research Published on:

  8. Graph Neural Networks (GNNs) are powerful tools that are nowadays reaching state of the art performances in a plethora of different tasks such as node classification, link prediction and graph classification. ...

    Authors: Lorenzo Zangari, Roberto Interdonato, Antonio Calió and Andrea Tagarelli
    Citation: Applied Network Science 2021 6:87
    Content type: Research Published on:

  11. Graph Neural Networks (GNNs) are effective in many applications. Still, there is a limited understanding of the effect of common graph structures on the learning process of GNNs. To fill this gap, we study the...

    Authors: Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic and Roman Kern
    Citation: Applied Network Science 2021 6:80
    Content type: Research Published on:

  13. Social networks are very important carriers of information. For instance, the political leaning of our friends can serve as a proxy to identify our own political preferences. This explanatory power is leverage...

    Authors: Lisette Espín-Noboa, Fariba Karimi, Bruno Ribeiro, Kristina Lerman and Claudia Wagner
    Citation: Applied Network Science 2021 6:78
    Content type: Research Published on:

  14. During the last decade, the advent of the Web and online social networks rapidly changed the way we were used to search, gather and discuss information of any kind. These tools have given everyone the chance t...

    Authors: Letizia Milli
    Citation: Applied Network Science 2021 6:76
    Content type: Research Published on:

  15. Research on fractal networks is a dynamically growing field of network science. A central issue is to analyze the fractality with the so-called box-covering method. As this problem is known to be NP-hard, a pl...

    Authors: Péter Tamás Kovács, Marcell Nagy and Roland Molontay
    Citation: Applied Network Science 2021 6:73
    Content type: Research Published on:

  18. Understanding where and why political change is happening in a country is a fundamental issue in political geography. While electoral choice is individual, it is influenced by various sociological, cultural, a...

    Authors: Jérôme Michaud, Ilkka H. Mäkinen, Attila Szilva and Emil Frisk
    Citation: Applied Network Science 2021 6:67
    Content type: Research Published on:

  19. This article proposes an approach to compare semantic networks using concept-centered sub-networks. A concept-centered sub-network is defined as an induced network whose vertex set consists of the given concept (...

    Authors: Darkhan Medeuov, Camille Roth, Kseniia Puzyreva and Nikita Basov
    Citation: Applied Network Science 2021 6:66
    Content type: Research Published on:

  21. Graph sampling methods have been used to reduce the size and complexity of big complex networks for graph mining and visualization. However, existing graph sampling methods often fail to preserve the connectiv...

    Authors: Jingming Hu, Tuan Tran Chu, Seok-Hee Hong, Jialu Chen, Amyra Meidiana, Marnijati Torkel, Peter Eades and Kwan-Liu Ma
    Citation: Applied Network Science 2021 6:60
    Content type: Research Published on:

  22. Sparsification is the process of decreasing the number of edges in a network while one or more topological properties are preserved. For probabilistic networks, sparsification has only been studied to preserve...

    Authors: Amin Kaveh, Matteo Magnani and Christian Rohner
    Citation: Applied Network Science 2021 6:58
    Content type: Research Published on:

  23. Cities are microcosms representing a diversity of human experience. The complexity of urban systems arises from this diversity, where the services that cities offer to their inhabitants have to be tailored for...

    Authors: Renita Murimi
    Citation: Applied Network Science 2021 6:57
    Content type: Research Published on:

  30. The use of networks for modelling and analysing relations among data is currently growing. Recently, the use of a single networks for capturing all the aspects of some complex scenarios has shown some limitati...

    Authors: Riccardo Dondi, Mohammad Mehdi Hosseinzadeh and Pietro H. Guzzi
    Citation: Applied Network Science 2021 6:40
    Content type: Research Published on: