Computational Social Science

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

151 citations recorded by the source corpus.

A field is emerging that leverages the capacity to collect and analyze data at a scale that may reveal patterns of individual and group behaviors.

Subfields: General Social Sciences

Citations in the corpus

• Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls (2014, neutral): “Social media big data has been hailed as key to crucial insights into human behavior and extensively analyzed by scholars, corporations, politicians, journalists, and governments (Boyd and Crawford 2012; Lazer et al, 2009).”
• The Relevance of Algorithms (2013, unknown): “A ciência social voltou-se avidamente para as técnicas computacionais ou para o estudo da socialidade humana através do “big data” (LAZER et al, 2009); para uma visão crítica, ver (BOYD; CRAWFORD, 2012), na esperança de desfrutar do tipo de insights que as ciências biológicas alcançaram, buscando…”
• CRITICAL QUESTIONS FOR BIG DATA (2012, unknown): “Commenting on computational social science, Lazer et al .”
• Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control (2011, unknown): “s important because the potential of computational social sciences to understand the dynamics of human societies cannot be fully explored if all data are private and owned by companies and governments[22]. Publicly available data from online social media provide unprecedented opportunities, especial”
• Modelling the influence of human behaviour on the spread of infectious diseases: a review (2010, unknown): “At the same time, modern technology opens up completely new possibilities to measure behaviour directly (Lazer et al., 2009), for example by means of mobile phones (González et al., 2008; Eagle et al., 2009), web-based surveys (Jones and Salathé, 2009), monitoring of web content and traffic…”
• Robust Text Classification in the Presence of Confounding Bias (2016, unknown): “More recently, however, emerging cross-disciplinary fields like computational social science (Lazer et al. 2009) and computational epidemiology (Marathe and Ramakrish-nan 2013) have created new demand for text classification in areas such as public health surveillance (Dredze 2012), political science…”
• Persistence of social signatures in human communication (2012, unknown): “human communication”
• Social Network Analysis and Mining for Business Applications (2011, unknown): “The ability to collect this kind of data by technological means has implied a significant shift in social network research, leading to the emergence of a “new,” “computational social science” [Lazer et al. 2009; Watts 2004].”
• Special Thematic Section on "Societal Change" A Complex Systems Approach to the Study of Ideology: Cognitive-Affective Structures and the Dynamics of Belief Systems (2013, unknown): “…" Big Data " at unprecedented scale have fueled more recent calls for a paradigm shift in social science toward a better understanding of societies as complex systems by means of computational modeling techniques (e.g., Gilbert & Troitzsch, 2005; Helbing & Carbone, 2012; Lazer et al., 2009).”