Social physics: uncovering human behaviour from communication

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A2 Katsausartikkeli tieteellisessä aikakauslehdessä
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2018-11-14

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Department of Computer Science

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en

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Advances in Physics: X, Volume 4, issue 1, pp. 1-29

Abstract

In the post year 2000 era the technologies that facilitate human communication have rapidly multiplied. While the adoption of these technologies has hugely impacted the behaviour and sociality of people, specifically in urban but also in rural environments, their "digital footprints' on different data bases have become an active area of research. The existence and accessibility of such large population-level datasets, has allowed scientists to study and model innate human tendencies and social patterns in an unprecedented way that complements traditional research approaches like questionnaire studies. In this review, we focus on data analytics and modelling research - along the lines of Social Physics - as it has been carried out using the mobile phone datasets to get insight into the various aspects of human sociality, burstiness in communication, mobility patterns, and daily rhythms.

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| openaire: EC/H2020/654024/EU//SoBigData | openaire: EC/H2020/662725/EU//IBSEN

Keywords

big data, complex networks, burstiness in time series, circadian rhythms, human mobility patterns, HUMAN MOBILITY, HUMAN DYNAMICS, CIRCADIAN-RHYTHMS, DISORDERED MEDIA, NETWORKS, PATTERNS, SLEEP, SCIENCE, MODEL, PREDICTABILITY

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DOI

10.1080/23746149.2018.1527723

Citation

Bhattacharya, K & Kaski, K 2018, 'Social physics : uncovering human behaviour from communication', Advances in Physics: X, vol. 4, no. 1, 1527723, pp. 1-29. https://doi.org/10.1080/23746149.2018.1527723

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https://urn.fi/URN:NBN:fi:aalto-201901141194

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[article-cris] Perustieteiden korkeakoulu / SCI