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Complex Networks

Lead Guest Editor: Hocine Cherifi

Real-world entities often interconnect with each other through explicit or implicit relationships to form complex networks, such as engineering systems, economic systems, and social systems. This special issue is a collection of papers dealing with theoretical tools and methods used in applications as well as practical problems from network science.

  1. Content type: Research

    Economists and social scientists have studied the human migration extensively. However, the complex network of human mobility in the United States (US) is not studied in depth. In this paper, we analyze migrat...

    Authors: Batyr Charyyev and Mehmet Hadi Gunes

    Citation: Computational Social Networks 2019 6:1

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  2. 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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  3. Content type: Research

    Detection of influential actors in social media such as Twitter or Facebook plays an important role for improving the quality and efficiency of work and services in many fields such as education and marketing.

    Authors: Ziyaad Qasem, Marc Jansen, Tobias Hecking and H. Ulrich Hoppe

    Citation: Computational Social Networks 2016 3:11

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  4. Content type: Research

    Influence in Twitter has become recently a hot research topic, since this micro-blogging service is widely used to share and disseminate information. Some users are more able than others to influence and persuade...

    Authors: Lobna Azaza, Sergey Kirgizov, Marinette Savonnet, Éric Leclercq, Nicolas Gastineau and Rim Faiz

    Citation: Computational Social Networks 2016 3:5

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  5. Content type: Research

    Several models for producing scale-free networks have been suggested; most of them are based on the preferential attachment approach. In this article, we suggest a new approach for generating scale-free networ...

    Authors: Akmal Artikov, Aleksandr Dorodnykh, Yana Kashinskaya and Egor Samosvat

    Citation: Computational Social Networks 2016 3:4

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  6. Content type: Research

    Convenient access to vast and untapped collections of documents generated by organizations is a highly valuable resource for research. These documents (e.g., press releases) are a window into organizational st...

    Authors: Adina Nerghes, Ju-Sung Lee, Peter Groenewegen and Iina Hellsten

    Citation: Computational Social Networks 2015 2:16

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  7. Content type: Research

    Competitiveness is a relevant social behavior and in several contexts, from economy to sport activities, has a fundamental role. We analyze this social behavior in the domain of evolutionary game theory, using...

    Authors: Marco A Javarone and Antonio E Atzeni

    Citation: Computational Social Networks 2015 2:15

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  8. Content type: Research

    We explore the dependence structure in the sampled sequence of complex networks. We consider randomized algorithms to sample the nodes and study extremal properties in any associated stationary sequence of cha...

    Authors: Konstantin Avrachenkov, Natalia M. Markovich and Jithin K. Sreedharan

    Citation: Computational Social Networks 2015 2:12

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  9. Content type: Research

    Social media and social networks contribute to shape the debate on societal and policy issues, but the dynamics of this process is not well understood. As a case study, we monitor Twitter activity on a wide ra...

    Authors: Borut Sluban, Jasmina Smailović, Stefano Battiston and Igor Mozetič

    Citation: Computational Social Networks 2015 2:9

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