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Complex Networks

  1. Research

    Detection of strong attractors in social media networks

    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.

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

    Computational Social Networks 2016 3:11

    Published on: 7 December 2016

  2. Research

    Information fusion-based approach for studying influence on Twitter using belief theory

    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...

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

    Computational Social Networks 2016 3:5

    Published on: 22 September 2016

  3. Research

    Factorization threshold models for scale-free networks generation

    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...

    Akmal Artikov, Aleksandr Dorodnykh, Yana Kashinskaya and Egor Samosvat

    Computational Social Networks 2016 3:4

    Published on: 22 August 2016

  4. Research

    Co-evolutionary dynamics in social networks: a case study of Twitter

    Complex networks often exhibit co-evolutionary dynamics, meaning that the network topology and the state of nodes or links are coupled, affecting each other in overlapping time scales. We focus on the co-evolu...

    Demetris Antoniades and Constantine Dovrolis

    Computational Social Networks 2015 2:14

    Published on: 31 July 2015

  5. Research

    The role of competitiveness in the Prisoner’s Dilemma

    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...

    Marco A Javarone and Antonio E Atzeni

    Computational Social Networks 2015 2:15

    Published on: 31 July 2015

  6. Research

    Distribution and dependence of extremes in network sampling processes

    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...

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

    Computational Social Networks 2015 2:12

    Published on: 22 July 2015

  7. Research

    Sentiment leaning of influential communities in social networks

    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...

    Borut Sluban, Jasmina Smailović, Stefano Battiston and Igor Mozetič

    Computational Social Networks 2015 2:9

    Published on: 14 July 2015