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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. Content type: Research

    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

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  2. Content type: Research

    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

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  3. Content type: Research

    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

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  4. Content type: Research

    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

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  5. Content type: Research

    The structure of egocentric networks reflects the way people balance their need for strong, emotionally intense relationships and a diversity of weaker ties. Egocentric network structure can be quantified with...

    Authors: Sara Heydari, Sam G. Roberts, Robin I. M. Dunbar and Jari Saramäki

    Citation: Applied Network Science 2018 3:8

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