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  1. Content type: Research

    Understanding traffic is an important challenge in different scientific fields. While there are many approaches to constructing traffic models, most of them rely on origin–destination data and have difficultie...

    Authors: Christian Hofer, Georg Jäger and Manfred Füllsack

    Citation: Computational Social Networks 2018 5:5

    Published on:

  2. Content type: Research

    In the framework of network sampling, random walk (RW) based estimation techniques provide many pragmatic solutions while uncovering the unknown network as little as possible. Despite several theoretical advan...

    Authors: Konstantin Avrachenkov, Vivek S. Borkar, Arun Kadavankandy and Jithin K. Sreedharan

    Citation: Computational Social Networks 2018 5:4

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  3. Content type: Research

    Complex networks are found in many domains and the control of these networks is a research topic that continues to draw increasing attention. This paper proposes a method of network control that attempts to ma...

    Authors: Dave McKenney and Tony White

    Citation: Computational Social Networks 2018 5:3

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  4. Content type: Research

    In this paper, we study the process of opinion dynamics and consensus building in online collaboration systems, in which users interact with each other following their common interests and their social profile...

    Authors: Ilire Hasani-Mavriqi, Dominik Kowald, Denis Helic and Elisabeth Lex

    Citation: Computational Social Networks 2018 5:2

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  5. 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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  6. 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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  7. Content type: Research

    The emerging grassroots party Barcelona en Comú won the 2015 Barcelona City Council election. This candidacy was devised by activists involved in the Spanish 15M movement to transform citizen outrage into poli...

    Authors: Pablo Aragón, Helena Gallego, David Laniado, Yana Volkovich and Andreas Kaltenbrunner

    Citation: Computational Social Networks 2017 4:8

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  8. 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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  9. 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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  10. 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

    Published on:

  11. Content type: Research

    Why group opinions tend to be converged through continued communication, discussion and interactions? Under the framework of the social influence network model, we rigorously prove that the group consensus is ...

    Authors: Zhenpeng Li, Xijin Tang, Benhui Chen, Jian Yang and Peng Su

    Citation: Computational Social Networks 2016 3:9

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  12. 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

    Published on:

  13. 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

    Published on:

Page 1 of 3

2016 Journal Metrics

  • Speed
    44 days from submission to first decision
    18 days from acceptance to publication

    Usage 
    23,650 downloads
    1264.0 Usage Factor

    Social Media Impact
    15 mentions

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