Big Data Analytics on the characteristic equilibrium of collective opinions in social networks
Abstract
Big data are products of human collective intelligence that are exponentially increasing in all facets of quantity, complexity, semantics, distribution, and processing costs in computer science, cognitive informatics, web-based computing, cloud computing, and computational intelligence. This paper presents fundamental big data analysis and mining technologies in the domain of social networks as a typical paradigm of big data engineering. A key principle of computational sociology known as the characteristic opinion equilibrium is revealed in social networks and electoral systems. A set of numerical and fuzzy models for collective opinion analyses is formally presented. Fuzzy data mining methodologies are rigorously described for collective opinion elicitation and benchmarking in order to enhance the conventional counting and statistical methodologies for big data analytics.
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The integral complexity of BD and exponentially growing demands develop unprecedented problems in BD engineering such as data acquisition and storage.
“The integral complexity of BD and exponentially growing demands develop unprecedented problems in BD engineering such as data acquisition and storage (Wang & Wiebe, 2014).”
From Critical analysis of Big Data challenges and analytical methods (2017) · cites this paper as Wang & Wiebe, 2014
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Critical analysis of Big Data challenges and analytical methods
Sivarajah, U., Kamal, M. M., Irani, Z., & Weerakkody, V. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2016.08.001 · Cited by 2,066 · see citing works
“TheintegralcomplexityofBDandexponentiallygrowingde-mands develop unprecedented problems in BD engineering such as data acquisition and storage (Wang & Wiebe, 2014).”
Background
- Authors
- Wang, Y., & Wiebe, V. J.
- Affiliations
- University of Calgary (CA)
- ORCID
- Wang, Yingxu
- Venue
- International Journal of Cognitive Informatics and Natural Intelligence
- Publisher
- IGI Global Scientific Publishing
- Published
- 2014-07-01
- Volume
- 8
- Issue
- 3
- Pages
- 29-44
- ISSN
- 1557-3958 (ISSN-L)
- 1557-3966
- OpenAlex
- W806991377
- Cited by
- 26
- References
- 0
- Citations by year
- 2023: 1 · 2022: 4 · 2021: 2 · 2020: 3 · 2019: 3 · 2018: 4 · 2017: 4 · 2016: 2 · 2015: 3
- FWCI
- 1.98
- Type
- journal article
- Language
- ng
- Open access
- closed
- Locations
- International Journal of Cognitive Informatics and Natural Intelligence (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Keywords
- big data analytics, collective opinion, social networks, computational sociology, fuzzy data mining, electoral systems
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