Big Data Analytics on the Characteristic Equilibrium of Collective Opinions in Social Networks

Yingxu Wang and Victor J. Wiebe
Additional contact information
Yingxu Wang: International Institute of Cognitive Informatics and Cognitive Computing (ICIC), University of Calgary, Calgary, Alberta, Canada
Victor J. Wiebe: International Institute of Cognitive Informatics and Cognitive Computing (ICIC), University of Calgary, Calgary, Alberta, Canada

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2014, vol. 8, issue 3, 29-44

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.

Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJCINI.2014070103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jcini0:v:8:y:2014:i:3:p:29-44

Access Statistics for this article

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) is currently edited by Kangshun Li

More articles in International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) from IGI Global
Bibliographic data for series maintained by Journal Editor ().