Predicting the Behavior of Techno-Social Systems

By Alessandro Vespignani. Science, 2009

494 citations recorded by the source corpus.

Subfields: Statistical and Nonlinear Physics, Transportation

View Paper: https://www.semanticscholar.org/paper/9230ecc9cf64f58d2f5bcfb7ad5b597903a0d2ee

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In Statistical and Nonlinear Physics

In Transportation

Citations in the corpus

Measuring Emotional Contagion in Social Media (2015, background): “The study of socio-technical systems, and their effects on our increasingly interconnected society, is playing a signiﬁcant role in the emerging ﬁeld of computational social science [30, 47, 20, 26, 3, 42, 8].”
Recommender Systems (2012, background): “Traditional “soft sciences”, such as sociology or economics, have their fast-growing branches relying on the study of these newly available massive data sets [1, 2].”
Globally networked risks and how to respond (2013, background): “(8) Economic, political and personal incentives are not sufficiently analysed as”
Collective Response of Human Populations to Large-Scale Emergencies (2011, unknown): “[1], such as life-threatening epidemic outbreaks [4,12], emergencies and traffic anomalies, as models based on stationary events are expected to break down under these circumstances.”
Investigating the Relations between Twitter Sentiment and Stock Prices (2015, background): “The interaction with technological systems is generating massive datasets that document collective behaviour in a previously unimaginable fashion [1, 2].”
Understanding the paradigm shift to computational social science in the presence of big data (2014, unknown): “Computational modeling approaches now can predict the behavior of sociotechnical systems, such as human interactions and mobility, that were previously not studied with one-time snapshots of data for very many people [83].”
Virality Prediction and Community Structure in Social Networks (2013, background): “With the availability of large-scale, digitized data on social communication [13, 14], the study of diﬀusion of memes (units of transmissible information) has become feasible recently [15–18].”
Natural human mobility patterns and spatial spread of infectious diseases (2011, background): “taking into account long distance travel and multiscale mobility networks [15], the majority of these models are”