Understanding the paradigm shift to computational social science in the presence of big data
The era of big data has created new opportunities for researchers to achieve high relevance and impact amid changes and transformations in how we study social science phenomena. With the emergence of new data collection technologies, advanced data mining and analytics support, there seems to be fund...
Saved in:
Main Authors: | CHANG, Ray M., KAUFFMAN, Robert J., KWON, Young Ok |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2014
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2108 https://ink.library.smu.edu.sg/context/sis_research/article/3107/viewcontent/UnderstandingParadigmShiftComputationalSocialSc_2014_DSS.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Big data security challenges and strategies
by: Venkatraman, S., et al.
Published: (2021) -
Adapting Block-Sized Captures for Faster Network Flow Analysis on the Hadoop Ecosystem
by: Medalla, Alberto H, et al.
Published: (2018) -
Big data applications in governance and policy
by: Giest, S., et al.
Published: (2021) -
Towards SDN-Enabled Big Data Platform for Social TV Analytics
by: Hu, Han, et al.
Published: (2015) -
Canaries in the Urban Data Mine: Analytics for Smarter City Life
by: KAUFFMAN, Robert J.
Published: (2014)