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