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Special Issue of the 6th International Conference on Complex Networks and Their Applications

In order to cross-fertilize ideas among scientists, the International Conference on Complex Networks and Their Applications brings together researchers from different scientific communities working on areas related to complex networks.  For the sixth edition of this annual event, 346 papers have been received from around the world. The contributions selected for submission to this series are technically beyond the scope of the paper appearing in the conference  proceedings and include significantly new material. They reflect the latest problems, advances, and diversity within the complex network community. 

Lead Guest Editor: Sabrina Gaito
Guest Editors: Marton Karsai and Hamamache Kheddouci


  1. Companies face increased product complexity that involves reviewing and optimizing product development business processes.This leads to an increasingly multidisciplinary approach. Research units and multi-loca...

    Authors: Soumaya Yahiaoui, Christophe Courtin, Pierre Maret and Laurent Tabourot
    Citation: Applied Network Science 2019 4:11
  2. This paper describes a network reduction technique to reveal possibly hidden relational patterns in information diffusion networks of interlinked content published across different types of online media. Topic...

    Authors: Tobias Hecking, Laura Steinert, Victor H. Masias and H. Ulrich Hoppe
    Citation: Applied Network Science 2019 4:1
  3. Ideas, information, viruses: all of them, with their mechanisms, spread over the complex social information, viruses: all tissues described by our interpersonal relations. Usually, to simulate and understand t...

    Authors: Letizia Milli, Giulio Rossetti, Dino Pedreschi and Fosca Giannotti
    Citation: Applied Network Science 2018 3:42
  4. In corporate networks, firms are connected through links of corporate ownership and shared directors, connecting the control over major economic actors in our economies in meaningful and consequential ways. Most ...

    Authors: Frank W. Takes, Walter A. Kosters, Boyd Witte and Eelke M. Heemskerk
    Citation: Applied Network Science 2018 3:39
  5. Due to the open data policies, nowadays, some countries have their power grid data available online. This may bring a new concern to the power grid operators in terms of malicious threats. In this paper, we as...

    Authors: Hale Cetinay, Karel Devriendt and Piet Van Mieghem
    Citation: Applied Network Science 2018 3:34
  6. Tuberculosis (TB) is an ancient disease that, although curable, still accounts for over 1 million deaths worldwide. Shortening treatment time is an important area of research but is hampered by the lack of mod...

    Authors: Michael J. Pitcher, Ruth Bowness, Simon Dobson and Stephen H. Gillespie
    Citation: Applied Network Science 2018 3:33
  7. A plethora of centrality measures or rankings have been proposed to account for the importance of the nodes of a network. In the seminal study of Boldi and Vigna (2014), the comparative evaluation of centralit...

    Authors: Ferenc Béres, Róbert Pálovics, Anna Oláh and András A. Benczúr
    Citation: Applied Network Science 2018 3:32
  8. Water Distribution Networks (WDN) are complex and highly interconnected systems. To maintain operation under failure conditions, WDNs should have built-in resilience based on topological and energy redundancy....

    Authors: Aly-Joy Ulusoy, Ivan Stoianov and Aurelie Chazerain
    Citation: Applied Network Science 2018 3:31
  9. In this paper we describe the application of a learning classifier system (LCS) variant known as the eXtended classifier system (XCS) to evolve a set of ‘control rules’ for a number of Boolean network instance...

    Authors: Matthew R. Karlsen and Sotiris Moschoyiannis
    Citation: Applied Network Science 2018 3:30
  10. Three fundamental elements to understand human information networks are the individuals (actors) in the network, the information they exchange, that is often observable online as text content (emails, social m...

    Authors: Davide Vega and Matteo Magnani
    Citation: Applied Network Science 2018 3:25
  11. With a steadily growing population and rapid advancements in technology, the global economy is increasing in size and complexity. This growth exacerbates global vulnerabilities and may lead to unforeseen conse...

    Authors: Xiang Niu, Alaa Moussawi, Gyorgy Korniss and Boleslaw K. Szymanski
    Citation: Applied Network Science 2018 3:24
  12. In real physical systems the underlying spatial components might not have crisp boundaries and their interactions might not be instantaneous. To this end, we propose δ-MAPS; a method that identifies spatially con...

    Authors: Ilias Fountalis, Constantine Dovrolis, Annalisa Bracco, Bistra Dilkina and Shella Keilholz
    Citation: Applied Network Science 2018 3:21
  13. The ubiquity of supply chains along with their increasingly interconnected structure has ignited interest in studying supply chain networks through the lens of complex adaptive systems. A particularly importan...

    Authors: Viplove Arora and Mario Ventresca
    Citation: Applied Network Science 2018 3:19
  14. Dividing a geographical region into some subregions with common characteristics is an important research topic, and has been studied in many research fields such as urban planning and transportation planning. ...

    Authors: Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda and Kazuhiro Kazama
    Citation: Applied Network Science 2018 3:18
  15. Link-prediction is an active research field within network theory, aiming at uncovering missing connections or predicting the emergence of future relationships from the observed network structure. This paper r...

    Authors: Federica Parisi, Guido Caldarelli and Tiziano Squartini
    Citation: Applied Network Science 2018 3:17
  16. In a recent work we introduced a measure of importance for groups of vertices in a complex network. This centrality for groups is always between 0 and 1 and induces the eigenvector centrality over vertices. Fu...

    Authors: Pierre-Louis Giscard and Richard C. Wilson
    Citation: Applied Network Science 2018 3:9