Special Issue "Computational Social Sciences: Contagion, Collective Behaviors, and Networks"
A special issue of Future Internet (ISSN 1999-5903).
Deadline for manuscript submissions: closed (15 February 2016)
The role of socio-technical systems in shaping social collectives is acquiring an increasing importance in our now interconnected world. However, our understanding of the complex dynamics governing the interplay between socio-technical systems and our society is still shallow. The intrinsic complex nature of the social dynamics occurring in online and offline social networks still challenges our efforts, both in terms of modeling and analysis of real-world data.
Recent work demonstrated the possibility of answering social questions at unprecedented scales, by leveraging data from socio-technical platforms, such as Facebook, Twitter, Wikipedia, and weblogs. This new wave of research, under the umbrella of Computational Social Sciences, aims at modeling, and at times predicting, offline and online events. Popular applications include elections forecasting, opinion dynamics, emotional contagion, and predicting movie revenues or stock market oscillations. Similar data provided insights into the mechanisms driving the formation of groups of interests, topical communities, and the evolution of social networks. They also have been used to study polarization phenomena in political discussion, diffusion of information, and the dynamics of collective attention.
The aim of this Special Issue is to address the question of ICT-mediated social phenomena emerging over multiple scales, ranging from the interactions of individuals to the emergence of self-organized global movements. We would like to gather researchers from different disciplines and methodological backgrounds to discuss new ideas, research questions, recent results, and future challenges in this emerging area of research and public interest.
Particular attention will be devoted to the following topics:
- Viral spreading in online social networks, public attention and popularity
- Crowd-sourcing and wisdom of crowds
- Temporally evolving networks
- Group formation, evolution, and group behavior analysis
- Modeling, tracking, and forecasting dynamic groups in social media
- Community detection and dynamic community structure analysis
- Social simulation, cultural, opinion, and normative dynamics
- Models of social capital, collective action, and social movements
- Coevolution of network and behavior
Dr. Emilio Ferrara
Manuscript Submission Information
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