Towards “Honest Signals” of Creativity – Identifying Personality Characteristics Through Microscopic Social Network Analysis

Towards “Honest Signals” of Creativity – Identifying Personality Characteristics Through Microscopic Social Network Analysis

This paper presents preliminary results on predicting individual creativity based on interpersonal interaction patterns. We combine insights from analyzing communication in an E-mail student network of a distributed course with measurements of interaction by sociometric badges for 23 programmers in...

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Bibliographic Details
Main Authors: Gloor, Peter A, Fischbach, Kai, Fuehres, Hauke, Lassenius, Casper, Niinimäki, Tuomas, Olguin, Daniel Olguin, Pentland, Sandy, Piri, Arttu, Putzke, Johannes
Other Authors: Massachusetts Institute of Technology. Center for Collective Intelligence
Format: Article
Language:English
Published: Elsevier BV 2021
Online Access:https://hdl.handle.net/1721.1/134489

Internet

https://hdl.handle.net/1721.1/134489

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