Smith-Clarke, C;
Capra, L;
(2017)
Information Diffusion and Economic Development.
In:
ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017.
(pp. pp. 475-483).
Association for Computing Machinery (ACM): New York, NY, USA.
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Abstract
In many developing countries there remains a limited view on the socioeconomic status of the population, owing to the high cost associated with detailed and comprehensive surveying. This situation has encouraged a number of researchers to attempt to exploit alternative sources of data in order to derive estimates, including mobile phone data, which offers a rich depiction of the social dynamics of a population. Meanwhile, from the level of the individual to the city, access to information has been posited as an important factor in determining prosperity and economic development. In this paper we explore this relationship by simulating the flow of information through a mobile phone call graph in two sub-Saharan countries. We find a strong relationship between a location's average wealth and its access to information as determined by the simulations in one country, and a weaker correlation in the second country. This finding adds to recent evidence that mining patterns from mobile phone data represents a viable means to estimate poverty in places where traditionally derived estimates are lacking. We further investigate the impact of various factors on the empirical results in order to explain the variation between the two countries.
Type: | Proceedings paper |
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Title: | Information Diffusion and Economic Development |
Event: | 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 |
Location: | Sydney, Australia |
Dates: | 31 July 2017 - 03 August 2017 |
ISBN-13: | 9781450349932 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3110025.3110045 |
Publisher version: | https://doi.org/10.1145/3110025.3110045 |
Language: | English |
Additional information: | This version is the author accepted manuscrip. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/1557896 |




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