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

Lead Guest Editor: Chantal Cherifi
Guest Editor: Antonio Scala

The International Workshop on Complex Networks & their Applications is an annual forum bringing together researchers from a wide variety of fields ranging from Computational Social Science, to Economic Complexity, up to Bioinformatics. Fuelled by the skills and expertise of participants from these diverse research fields, this workshop allows for cross-fertilization between fundamental and applied research. It offers a unique opportunity to review current scientific work, unanswered but critical questions and formulate new directions in network science.

Rather than simply providing a collection of papers presented at the workshop, our intention here is to provide a perspective on the state-of-the-art in this dynamic field while covering a variety of topics capturing the atmosphere in the network science community.

  1. Content type: Research

    Hashtags are widely used for communication in online media. As a condensed version of information, they characterize topics and discussions. For their analysis, we apply methods from network science and propos...

    Authors: Philipp Lorenz-Spreen, Frederik Wolf, Jonas Braun, Gourab Ghoshal, Nataša Djurdjevac Conrad and Philipp Hövel

    Citation: Computational Social Networks 2018 5:9

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  2. Content type: Research

    In this paper, we model the problem of influencing the opinions of groups of individuals as a containment control problem, as in many practical scenarios, the control goal is not full consensus among all the i...

    Authors: Pietro DeLellis, Anna DiMeglio, Franco Garofalo and Francesco Lo Iudice

    Citation: Computational Social Networks 2017 4:12

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  3. Content type: Research

    We examine the coevolution of three-layer node-aligned network of university students. The first layer is defined by nominations based on perceived prominence collected from repeated surveys during the first f...

    Authors: Ashwin Bahulkar, Boleslaw K. Szymanski, Kevin Chan and Omar Lizardo

    Citation: Computational Social Networks 2017 4:11

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  4. Content type: Research

    Social media are an important source of information about the political issues, reflecting, as well as influencing, public mood. We present an analysis of Twitter data, collected over 6 weeks before the Brexit...

    Authors: Miha Grčar, Darko Cherepnalkoski, Igor Mozetič and Petra Kralj Novak

    Citation: Computational Social Networks 2017 4:6

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  5. Content type: Research

    Social networking services (SNSs) are widely used as communicative tools for a variety of purposes. SNSs rely on the users’ individual activities associated with some cost and effort, and thus it is not known ...

    Authors: Kengo Osaka, Fujio Toriumi and Toshihauru Sugawara

    Citation: Computational Social Networks 2017 4:2

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