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Using global research infrastructure with big (commercial) data: Modelling consumer behaviour in China

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationProceedings - International Conference on Computer Communications and Networks, ICCCN
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479935727
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 23rd International Conference on Computer Communication and Networks, ICCCN 2014 - Shanghai, United Kingdom
Duration: 4 Aug 20147 Aug 2014

Conference

Conference2014 23rd International Conference on Computer Communication and Networks, ICCCN 2014
CountryUnited Kingdom
CityShanghai
Period4/08/147/08/14

Abstract

The advent of globally distributed computing services and network access allows 'big data' on consumption to be used to model, explain and predict consumer behavior at resolutions that range from individual cities to whole countries. Given access to suitable infrastructure, the most significant challenge is to create conditions under which 'Data Scientists' may access and manipulate the required data whilst observing individual, national, and commercial constraints set by the type and location of the data. This paper draws on the experience of building the first Global Computing Grid to connect collaborating sites in three continents and describes the architecture of an embedded analytical facility installed within a Chinese commercial organisation that has enabled collaborative analysis of millions of consumer records. We report how this access has provided new insights into consumer behaviour within China ranging from testing strategic models of economic development to exploring 'digital exclusion' and the impact of migration on technology adoption.

    Research areas

  • China, Consumer Behaviour, Digital Exclusion, Global Grid

Event

2014 23rd International Conference on Computer Communication and Networks, ICCCN 2014

4/08/147/08/14

Shanghai, United Kingdom

Event: Conference

ID: 18262739