In this paper, we present an analysis of the emotion-exchange patterns that arise from
Twitter messages sent during emergency events. To this end, we performed a
systematic structural analysis of the multiplex communication network that we derived
from a data-set including more than 1.9 million tweets that have been sent during five
recent shootings and terror events. In order to study the local communication
structures that emerge as Twitter users directly exchange emotional messages, we
propose the concept of emotion-exchangemotifs. Our findings suggest that
emotion-exchange motifs which contain reciprocal edges (indicating online
conversations) only emerge when users exchange messages that convey anger or fear,
either in isolation or in any combination with another emotion. In contrast, the
expression of sadness, disgust, surprise, as well as any positive emotion are rather
characteristic for emotion-exchange motifs representing one-way communication
patterns (instead of online conversations). Among other things, we also found that a
higher structural similarity exists between pairs of network layers consisting of one
high-arousal emotion and one low-arousal emotion, rather than pairs of network layers
belonging to the same arousal dimension.
| Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:6896 |
| Date | January 2019 |
| Creators | Kusen, Ema, Strembeck, Mark |
| Publisher | Springer Nature |
| Source Sets | Wirtschaftsuniversität Wien |
| Language | English |
| Detected Language | English |
| Type | Article, PeerReviewed |
| Format | application/pdf |
| Rights | Creative Commons: Attribution 4.0 International (CC BY 4.0) |
| Relation | http://dx.doi.org/10.1007/s41109-019-0115-6, https://www.springeropen.com/, http://epub.wu.ac.at/6896/ |
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