Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale

Autor: Mahesh K. Marina, Alessandro Nordio, Marco Fiore, Rajkarn Singh, Alberto Tarable
Rok vydání: 2019
Předmět:
Zdroj: The World Wide Web Conference on-WWW 19
The World Wide Web Conference on -WWW '19
The World Wide Web Conference on-WWW '19
Proceeding of the World Wide Web Conference (WWW'19), pp. 1724–1734, San Francisco, CA, USA, 13-17/10/2019
info:cnr-pdr/source/autori:Singh, Rajkarn; Fiore, Marco; Marina, Mahesh K.; Nordio, Alessandro; Tarable, Alberto/congresso_nome:Proceeding of the World Wide Web Conference (WWW'19)/congresso_luogo:San Francisco, CA, USA/congresso_data:13-17%2F10%2F2019/anno:2019/pagina_da:1724/pagina_a:1734/intervallo_pagine:1724–1734
Singh, R, Fiore, M, Marina, M K, Nordio, A & Tarable, A 2019, Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale . in Proceedings of The Web Conference 2019 . New York, pp. 1724-1734, The Web Conference 2019, San Francisco, United States, 13/05/19 . https://doi.org/10.1145/3308558.3313628
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DOI: 10.1145/3308558.3313628
Popis: We investigate spatial patterns in mobile service consumption that emerge at national scale. Our investigation focuses on a representative case study, i.e., France, where we find that: (i) the demand for popular mobile services is fairly uniform across the whole country, and only a reduced set of peculiar services (mainly operating system updates and long-lived video streaming) yields geographic diversity; (ii) even for such distinguishing services, the spatial heterogeneity of demands is limited, and a small set of consumption behaviors is sufficient to characterize most of the mobile service usage across the country; (iii) the spatial distribution of these behaviors correlates well with the urbanization level, ultimately suggesting that the adoption of geographically-diverse mobile applications is linked to a dichotomy of cities and rural areas. We derive our results through the analysis of substantial measurement data collected by a major mobile network operator, leveraging an approach rooted in information theory that can be readily applied to other scenarios.
Comment: to be published in Proceedings of the 2019 World Wide Web Conference (WWW'19), May 13-17 2019, San Francisco, CA, USA. 11 pages, 11 figures, 2 tables
Databáze: OpenAIRE