Bibliography – Big Data

Selected DH research and resources bearing on, or utilized by, the WE1S project.
(all) Distant Reading | Cultural Analytics | | Sociocultural Approaches | Topic Modeling in DH | Non-consumptive Use


“Big Data Technologies: A Survey.” Journal of King Saud University - Computer and Information Sciences 30, no. 4 (2018): 431–48. https://doi.org/10.1016/j.jksuci.2017.06.001. Cite
Mützel, Sophie. “Facing Big Data: Making Sociology Relevant , Facing Big Data: Making Sociology Relevant.” Big Data & Society 2, no. 2 (2015): 2053951715599179. https://doi.org/10.1177/2053951715599179. Cite
Hashem, Ibrahim Abaker Targio, Ibrar Yaqoob, Nor Badrul Anuar, Salimah Mokhtar, Abdullah Gani, and Samee Ullah Khan. “The Rise of ‘Big Data’ on Cloud Computing: Review and Open Research Issues.” Information Systems 47 (2015): 98–115. https://doi.org/10.1016/j.is.2014.07.006. Cite
“Beyond the Hype: Big Data Concepts, Methods, and Analytics.” International Journal of Information Management 35, no. 2 (2015): 137–44. https://doi.org/10.1016/j.ijinfomgt.2014.10.007. Cite
Ahonen, Pertti. “Institutionalizing Big Data Methods in Social and Political Research , Institutionalizing Big Data Methods in Social and Political Research.” Big Data & Society 2, no. 2 (2015): 2053951715591224. https://doi.org/10.1177/2053951715591224. Cite
Lazer, David, Ryan Kennedy, Gary King, and Alessandro Vespignani. “The Parable of Google Flu: Traps in Big Data Analysis.” Science 343, no. 6176 (2014): 1203–5. https://doi.org/10.1126/science.1248506. Cite
Kitchin, Rob. “Big Data, New Epistemologies and Paradigm Shifts.” Big Data & Society 1, no. 1 (2014): 2053951714528481. https://doi.org/10.1177/2053951714528481. Cite
Kitchin, Rob. The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences. Los Angeles, California: SAGE Publications, 2014. Cite
Philip Chen, C. L., and Chun-Yang Zhang. “Data-Intensive Applications, Challenges, Techniques and Technologies: A Survey on Big Data.” Information Sciences 275 (2014): 314–47. https://doi.org/10.1016/j.ins.2014.01.015. Cite
Bail, Christopher. The Cultural Environment: Measuring Culture With Big Data, 2014. https://www.researchgate.net/publication/260705893_The_Cultural_Environment_Measuring_Culture_With_Big_Data. Cite
Chen, Min, Shiwen Mao, and Yunhao Liu. “Big Data: A Survey.” Mobile Networks and Applications 19, no. 2 (2014): 171–209. https://doi.org/10.1007/s11036-013-0489-0. Cite
Wu, Xindong, Xingquan Zhu, Gong-Qing Wu, and Wei Ding. “Data Mining with Big Data.” IEEE Transactions on Knowledge and Data Engineering 26, no. 1 (2014): 97–107. https://doi.org/10.1109/TKDE.2013.109. Cite
Richards, Neil M., and Jonathan H. King. “Three Paradoxes of Big Data.” Stanford Law Review 66 (2013). https://www.stanfordlawreview.org/online/privacy-and-big-data-three-paradoxes-of-big-data/. Cite
Ward, Jonathan Stuart, and Adam Barker. “Undefined By Data: A Survey of Big Data Definitions.” ArXiv:1309.5821 [Cs], 2013. http://arxiv.org/abs/1309.5821. Cite
Sagiroglu, Seref, and Duygu Sinanc. “Big Data: A Review.” In 2013 International Conference on Collaboration Technologies and Systems (CTS), 42–47, 2013. https://doi.org/10.1109/CTS.2013.6567202. Cite
Labrinidis, Alexandros, and H. V. Jagadish. “Challenges and Opportunities with Big Data.” VLDB Endowment, 2012. https://doi.org/10.14778/2367502.2367572. Cite
Boyd, Danah, and Kate Crawford. “Six Provocations for Big Data.” SSRN Scholarly Paper. Rochester, NY: Social Science Research Network, 2011. https://papers.ssrn.com/abstract=1926431. Cite