Big Data for Studying Population Migration: Analytical Capabilities
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Big Data for Studying Population Migration: Analytical Capabilities
Annotation
PII
S207987840029686-3-1
Publication type
Article
Status
Published
Authors
Ivan Aleshkovski 
Affiliation: Lomonosov Moscow State University
Address: Russian Federation, Moscow
Alexandr Grebenuk
Affiliation: Lomonosov Moscow State University
Address: Russian Federation, Moscow
Anastasiya Maksimova
Affiliation: Lomonosov Moscow State University
Address: Russian Federation, Moscow
Abstract

The article discusses the possibilities and features of usage the “big data” processing methods for studying population migration. Particular attention is paid to the main problems of obtaining primary information from digital sources and the limitations of their use. The article assesses the possibilities of using “digital traces” of mobile operators, application routing and open data from social networks to analyze migration flows. It also provides specific examples of such research and draws conclusions about the prospects for using digital “big data” services to enrich the information of classical migration registration tools.

Keywords
population migration, big data, information sources, social networks
Источник финансирования
This research was carried out as part of the Development program of the Interdisciplinary Scientific and Educational School of Lomonosov Moscow State University «Mathematical Methods of Analysis of Complex Systems». Project 23А-SH05-04.
Received
15.09.2023
Publication date
31.12.2023
Number of characters
33221
Number of purchasers
7
Views
194
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0.0 (0 votes)
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