Special Issue "Computational Social Science"
Deadline for manuscript submissions: closed (15 May 2019) | Viewed by 20032
Interests: computational science; statistical physics; complex systems; complex networks; data science; computational social science
Interests: statistical physics; complex systems; networks; bursty dynamics
Interests: computational social science; computational sociology; computer and information sciences; network science; social networks; social media; systems science; agent-based modeling; complex systems; computer modeling; computerized simulations; applied mathematics; interdisciplinary physics
The last centuries have seen a great surge in our understanding and control of ‘simple’ physical, chemical, and biological processes through data analysis and the mathematical modelling of their underlying dynamics. Encouraged by its success, researchers have recently embarked on extending such approaches to gain qualitative and quantitative understanding of social and economic systems and the dynamics in and of them. This has become possible due to the massive amounts of data generated by information-communication technologies and the unprecedented fusion of off- and on-line human activity. However, due to the presence of adaptability, feedback loops, and strong heterogeneities of the individuals and interactions making up our modern digital societies, it is yet unclear if statistical ‘laws’ of socio-technical behaviour even exist, akin to those found for natural processes. Such continuing search has resulted in the fields of computational social science and social network science, which share the goal of first analysing social phenomena and then modelling them with enough accuracy to make reliable predictions. This Special Issue invites contributions to such fields of study, with focus on the temporal evolution and dynamics of complex social systems. As topics of interest, we propose research on more realistic models of social dynamics, the use of statistical inference, machine learning, and other cross-disciplinary techniques to complement the analysis of social dynamics, and the creation of loops between data acquisition and model analysis to increase accuracy in the prediction of social trends. We hope this Special Issue will bring together expertise from a wide range of research communities interested in similar topics, including computational social science, network science, information science, and complexity science.
Prof. Dr. Kimmo Kaski
Prof. Dr. Hang-Hyun Jo
Prof. Dr. Gerardo Iñiguez
Manuscript Submission Information
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- computational social science
- complex social systems and dynamics
- social network analysis and modeling
- collective dynamics in social and economic systems
- social physics and econophysics
- temporally evolving social networks
- online and offline social networks
- information diffusion, social contagion, and opinion formation
- collective intelligence
- crowd-sourcing; herding behavior vs. wisdom of crowds
- human mobility and transportation
- 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 and computing
- empirical calibration and validation of agent-based models
- coevolution of network and behavior