Work

Sensing and Modeling Human Behavior Using Social Media and Mobile Data

Year: 2017

Type: preprint

Abstract: In the past years we have witnessed the emergence of the new discipline of computational social science, which promotes a new data-driven and computation-based approach to social sciences. In this article we discuss how the availability of new technologies such as online social media and mobile smartphones has allowed researchers to passively collect human behavioral data at a scale and a level of granularity that were just unthinkable some years ago. We also discuss how these digital traces can then be used to prove (or disprove) existing theories and develop new models of human behavior.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1702.01181

Authors: Mehrotra, Abhinav, Musolesi, Mirco

Institutions: The Alan Turing Institute, University College London

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

Open Access status: green

Funder: Engineering and Physical Sciences Research Council

Award: G8597009950