Life in the network: The coming age of computational social science: Science

By David M. J. Lazer, Alex Pentland, A. Adamić, Sinan Aral, Albert-László Barabási, Devon Brewer, Nicholas A. Christakis, Noshir S. Contractor, James H. Fowler, M. Gutmann and 5 more. 2009

930 citations recorded by the source corpus.

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Citations in the corpus

Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, neutral): “They are believed to provide insights into both individual-level and large human phenomena, with a plethora of applications and substantial impact (Lazer et al., 2009; Dumais et al., 2014; Harford, 2014; Tufekci, 2014).”
Geometric Deep Learning: Going beyond Euclidean data (2016, background): “For instance, in social networks, the characteristics of users can be modeled as signals on the vertices of the social graph [22].”
Contextual Enrichment of Remote-Sensed Events with Social Media Streams (2016, background): “Researchers leveraged social media content for public opinion mining [18], [11], [6], for monitoring and prediction of infectious disease outbreaks [15], [16], for coordination of rescue efforts after disasters [7], [13], [10] as well as for analyzing the social reﬂection of the society [9].”
Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis (2015, background): “In particular, in the pervasive and ubiquitous computing community, several projects have investigated the use of smart-phone data for the automatic detection and prediction of psychological states and mental health conditions [22, 32, 23, 6].”
Organizing for Innovation in the Digitized World (2012, methodology): “ital trace data (Lazer et al. 2009).”
Psychological targeting as an effective approach to digital mass persuasion (2017, background): “Recent research in the field of computational social sciences (9), however, suggests that people’s psychological profiles can be accurately predicted from the digital footprints they leave with every step they take online (10).”
Languages cool as they expand: Allometric scaling and the decreasing need for new words (2012, background): “[2] Lazer, D.”
Measuring Large-Scale Social Networks with High Resolution (2014, background): “phone call records, GPS traces, credit card transactions, webpage visits, emails, and data from social networks [9].”
Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels (2012, background): “The analysis of network data is an open statistical problem, with many potential applications in the social sciences [Lazer et al. (2009)] and in biology [Proulx, Promislow and Phillips (2005)].”
Partisan asymmetries in online political activity (2012, background): “…study is characteristic of an emerging mode of inquiry in the political and social sciences, whereby large-scale behavioral data are aggregated and analyzed to shed quantitative light on questions whose scale was previously considered outside the realm of tractable analysis (Lazer et al., 2009).”