Friends don't lie: inferring personality traits from social network structure
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Pentland_Friends don't.pdf
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351.96 KB
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Author(s)
Staiano, Jacopo
Pianesi, Fabio
Lepri, Bruno
Sebe, Nicu
Aharony, Nadav
Pentland, Alex Paul
Date Issued
September 2012
Journal
Proceedings of the 2012 ACM Conference on Ubiquitous Computing - UbiComp '12
Publisher
Association for Computing Machinery
Citation
Staiano, Jacopo, Fabio Pianesi, Bruno Lepri, Nicu Sebe, Nadav Aharony, and Alex Pentland. “Friends Don’t Lie.” Proceedings of the 2012 ACM Conference on Ubiquitous Computing - UbiComp ’12 (2012), Sept. 5-8, 2013, Pittsburgh, PA, USA, ACM.
Version
Author's final manuscript
Abstract
In this work, we investigate the relationships between social network structure and personality; we assess the performances of different subsets of structural network features, and in particular those concerned with ego-networks, in predicting the Big-5 personality traits. In addition to traditional survey-based data, this work focuses on social networks derived from real-life data gathered through smartphones. Besides showing that the latter are superior to the former for the task at hand, our results provide a fine-grained analysis of the contribution the various feature sets are able to provide to personality classification, along with an assessment of the relative merits of the various networks exploited.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2370216.2370266
