This paper presents the SocioMetric Badges Corpus, a new corpus for social interaction studies collected during a 6 weeks contiguous period in a research institution, monitoring the activity of 53 people. The design of the corpus was inspired by the need to provide researchers and practitioners with: a) raw digital trace data that could be used to directly address the task of investigating, reconstructing and predicting people's actual social behavior in complex organizations, b) information about participants' individual characteristics (e.g., personality traits), along with c) data concerning the general social context (e.g., participants' social networks) and the specific situations they find themselves in. © 2012 IEEE.

The SocioMetric Badges Corpus: A Multilevel Behavioral Dataset for Social Behavior in Complex Organizations

Lepri, Bruno;Staiano, Jacopo;Kalimeri, Kyriaki;Finnerty, Ailbhe Noelle;Pianesi, Fabio;Sebe, Niculae;
2012-01-01

Abstract

This paper presents the SocioMetric Badges Corpus, a new corpus for social interaction studies collected during a 6 weeks contiguous period in a research institution, monitoring the activity of 53 people. The design of the corpus was inspired by the need to provide researchers and practitioners with: a) raw digital trace data that could be used to directly address the task of investigating, reconstructing and predicting people's actual social behavior in complex organizations, b) information about participants' individual characteristics (e.g., personality traits), along with c) data concerning the general social context (e.g., participants' social networks) and the specific situations they find themselves in. © 2012 IEEE.
2012
Proceedings of ASE/IEEE International Conference on Social Computing
Los Alamitos
IEEE
9780769548487
Lepri, Bruno; Staiano, Jacopo; G., Rigato; Kalimeri, Kyriaki; Finnerty, Ailbhe Noelle; Pianesi, Fabio; Sebe, Niculae; A., Pentland
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/93371
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