Skip to main content

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. Research

    Generating realistic scaled complex networks

    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...

    Christian L. Staudt, Michael Hamann, Alexander Gutfraind, Ilya Safro and Henning Meyerhenke

    Applied Network Science 2017 2:36

    Published on: 13 October 2017

  2. Research

    Categorisation of polyphonic musical signals by using modularity community detection in audio-associated visibility network

    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...

    Dirceu de Freitas Piedade Melo, Inacio de Sousa Fadigas and Hernane Borges de Barros Pereira

    Applied Network Science 2017 2:32

    Published on: 10 October 2017

  3. Research

    Can local-community-paradigm and epitopological learning enhance our understanding of how local brain connectivity is able to process, learn and memorize chronic pain?

    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...

    Vaibhav Narula, Antonio Giuliano Zippo, Alessandro Muscoloni, Gabriele Eliseo M. Biella and Carlo Vittorio Cannistraci

    Applied Network Science 2017 2:28

    Published on: 30 August 2017

  4. Research

    A multiplex network approach for the analysis of intracranial pressure and heart rate data in traumatic brain injured patients

    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...

    Giovanna Maria Dimitri, Shruti Agrawal, Adam Young, Joseph Donnelly, Xiuyun Liu, Peter Smielewski, Peter Hutchinson, Marek Czosnyka, Pietro Lió and Christina Haubrich

    Applied Network Science 2017 2:29

    Published on: 30 August 2017

  5. Research

    Brain network clustering with information flow motifs

    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...

    Marcus Märtens, Jil Meier, Arjan Hillebrand, Prejaas Tewarie and Piet Van Mieghem

    Applied Network Science 2017 2:25

    Published on: 3 August 2017

  6. Research

    The Third Man: hierarchy formation in Wikipedia

    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...

    Jürgen Lerner and Alessandro Lomi

    Applied Network Science 2017 2:24

    Published on: 27 July 2017

  7. Research

    Multiplex flows in citation networks

    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 ...

    Benjamin Renoust, Vivek Claver and Jean-François Baffier

    Applied Network Science 2017 2:23

    Published on: 18 July 2017

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

  8. Research

    Weighted spectral clustering for water distribution network partitioning

    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...

    Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Roberto Greco and Giovanni Francesco Santonastaso

    Applied Network Science 2017 2:19

    Published on: 30 June 2017

  9. Research

    Sparse matrix computations for dynamic network centrality

    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...

    Francesca Arrigo and Desmond J. Higham

    Applied Network Science 2017 2:17

    Published on: 24 June 2017

  10. Research

    The weakness of weak ties for novel information diffusion

    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 ...

    Jennifer M. Larson

    Applied Network Science 2017 2:14

    Published on: 19 June 2017

  11. Research

    Functional models and extending strategies for ecological networks

    Complex network analysis is rising as an essential tool to understand properties of ecological landscape networks, and as an aid to land management. The most common methods to build graph models of ecological ...

    Gianni Fenu, Pier Luigi Pau and Danilo Dessì

    Applied Network Science 2017 2:10

    Published on: 25 May 2017