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Special Issue of the 5th International Workshop on Complex Networks and Their Applications

In order to cross-fertilize ideas among scientists, the International Workshop on Complex Networks and Their Applications brings together researchers from different scientific communities working on areas related to complex networks.  For the fifth edition of this annual event, 204 papers have been received from around the world. These contributions have been peer-reviewed from at least three independent reviewers to ensure the high quality of contributed material as well as adherence to conference topics.  Among the papers selected by the scientific committee for the workshop, a selection of contributions have been retained for submission to a thematic issue of Applied Network Science. These submissions are technically beyond the scope of the papers appearing in the workshop proceedings and include significantly new material. After a further new and independent review process, the papers have been selected for this thematic issue. These papers reflect the latest problems, advances, and diversity within the complex network community. 

Lead Guest Editor: Sabrina Gaito
Guest Editors: Walter Quattrociocchi and Alessandra Sala

  1. Most real networks are too large or they are not available for real time analysis. Therefore, in practice, decisions are made based on partial information about the ground truth network. It is of great interes...

    Authors: Ralucca Gera, L. Alonso, Brian Crawford, Jeffrey House, J. A. Mendez-Bermudez, Thomas Knuth and Ryan Miller
    Citation: Applied Network Science 2018 3:2
    Content type: Research Published on:

  2. Many bipartite and unipartite real-world networks display a nested structure. Examples pervade different disciplines: biological ecosystems (e.g. mutualistic networks), economic networks (e.g. manufactures and...

    Authors: Alexander Grimm and Claudio J. Tessone
    Citation: Applied Network Science 2017 2:37
    Content type: Research Published on:

  3. Research on generative models plays a central role in the emerging field of network science, studying how statistical patterns found in real networks could be generated by formal rules. Output from these gener...

    Authors: Christian L. Staudt, Michael Hamann, Alexander Gutfraind, Ilya Safro and Henning Meyerhenke
    Citation: Applied Network Science 2017 2:36
    Content type: Research Published on:

  4. This article proposes a method to numerically characterise the homogeneity of polyphonic musical signals through community detection in audio-associated visibility networks and to detect patterns that allow th...

    Authors: Dirceu de Freitas Piedade Melo, Inacio de Sousa Fadigas and Hernane Borges de Barros Pereira
    Citation: Applied Network Science 2017 2:32
    Content type: Research Published on:

  5. Online communities are used across several fields of human activities, as environments for large-scale collaboration. Most successful ones employ professionals, sometimes called “community managers” or “modera...

    Authors: Alberto Cottica, Guy Melançon and Benjamin Renoust
    Citation: Applied Network Science 2017 2:30
    Content type: Research Published on:

  6. We present a multiplex network model for the analysis of Intracranial Pressure (ICP) and Heart Rate (HR) behaviour after severe brain traumatic injuries in pediatric patients. The ICP monitoring is of vital im...

    Authors: Giovanna Maria Dimitri, Shruti Agrawal, Adam Young, Joseph Donnelly, Xiuyun Liu, Peter Smielewski, Peter Hutchinson, Marek Czosnyka, Pietro Lió and Christina Haubrich
    Citation: Applied Network Science 2017 2:29
    Content type: Research Published on:

  7. The mystery behind the origin of the pain and the difficulty to propose methodologies for its quantitative characterization fascinated philosophers (and then scientists) from the dawn of our modern society. No...

    Authors: Vaibhav Narula, Antonio Giuliano Zippo, Alessandro Muscoloni, Gabriele Eliseo M. Biella and Carlo Vittorio Cannistraci
    Citation: Applied Network Science 2017 2:28
    Content type: Research Published on:

  9. Recent work has revealed frequency-dependent global patterns of information flow by a network analysis of magnetoencephalography data of the human brain. However, it is unknown which properties on a small subg...

    Authors: Marcus Märtens, Jil Meier, Arjan Hillebrand, Prejaas Tewarie and Piet Van Mieghem
    Citation: Applied Network Science 2017 2:25
    Content type: Research Published on:

  10. Wikipedia articles are written by teams of independent volunteers in the absence of formal hierarchical organizational structures. How is coordination achieved under such conditions of extreme decentralization...

    Authors: Jürgen Lerner and Alessandro Lomi
    Citation: Applied Network Science 2017 2:24
    Content type: Research Published on:

  11. Knowledge is created and transmitted through generations, and innovation is often seen as a process generated from collective intelligence. There is rising interest in studying how innovation emerges from the ...

    Authors: Benjamin Renoust, Vivek Claver and Jean-François Baffier
    Citation: Applied Network Science 2017 2:23
    Content type: Research Published on:

    The Erratum to this article has been published in Applied Network Science 2017 2:27

  14. In order to improve the management and to better locate water losses, Water Distribution Networks can be physically divided into District Meter Areas (DMAs), inserting hydraulic devices on proper pipes and thu...

    Authors: Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Roberto Greco and Giovanni Francesco Santonastaso
    Citation: Applied Network Science 2017 2:19
    Content type: Research Published on:

  16. Time sliced networks describing human-human digital interactions are typically large and sparse. This is the case, for example, with pairwise connectivity describing social media, voice call or physical proxim...

    Authors: Francesca Arrigo and Desmond J. Higham
    Citation: Applied Network Science 2017 2:17
    Content type: Research Published on:

  17. Understanding edge formation represents a key question in network analysis. Various approaches have been postulated across disciplines ranging from network growth models to statistical (regression) methods. In...

    Authors: Lisette Espín-Noboa, Florian Lemmerich, Markus Strohmaier and Philipp Singer
    Citation: Applied Network Science 2017 2:16
    Content type: Research Published on:

  18. Weak ties are thought to facilitate the diffusion of information through social networks because of their tendency to span otherwise distant subgroups. However, this logic assumes that weak relationships have ...

    Authors: Jennifer M. Larson
    Citation: Applied Network Science 2017 2:14
    Content type: Research Published on:

    The Correction to this article has been published in Applied Network Science 2020 5:8