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Methods for quantifying effects of social unrest using credit card transaction data

Abstract:

Societal unrest and similar events are important for societies, but it is often difficult to quantify their effects on individuals, hindering a timely and effective policy-making in emergencies and in particular localized social shocks such as protests. Traditionally, effects are assessed through economic indicators or surveys with relatively low temporal and spatial resolutions. In this work, we compute two behavioral indexes, based on the use of credit card transaction data, for measuring t...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's Version

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Publisher copy:
10.1140/epjds/s13688-018-0136-x

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
ORCID:
0000-0002-1143-9786
Shmueli, E More by this author
Bozkaya, B More by this author
Pentland, A More by this author
Publisher:
Springer Open Publisher's website
Journal:
EPJ Data Science Journal website
Volume:
7
Issue:
8
Publication date:
2018-04-13
Acceptance date:
2018-03-18
DOI:
EISSN:
2193-1127
Pubs id:
pubs:937123
URN:
uri:9e2d19fc-f956-45ae-9768-3d07990f92db
UUID:
uuid:9e2d19fc-f956-45ae-9768-3d07990f92db
Local pid:
pubs:937123

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