A network model of interpersonal alignment in dialog
Mehler A, Lücking A, Weiß P (2010)
Entropy 12(6): 1440-1483.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Einrichtung
Technische Fakultät
SFB 673 Alignment in Communication > X1 - Multimodal alignment corpora: ...
SFB 673 Alignment in Communication > A3 - Dialogue and group dynamics
Center of Excellence - Cognitive Interaction Technology CITEC
Zentrum für Lehren und Lernen (ZLL)
SFB 673 Alignment in Communication > B1 - Speech-gesture alignment
SFB 673 Alignment in Communication > X1 - Multimodal alignment corpora: ...
SFB 673 Alignment in Communication > A3 - Dialogue and group dynamics
Center of Excellence - Cognitive Interaction Technology CITEC
Zentrum für Lehren und Lernen (ZLL)
SFB 673 Alignment in Communication > B1 - Speech-gesture alignment
Abstract / Bemerkung
In dyadic communication, both interlocutors adapt to each other linguistically, that is, they align interpersonally. In this article, we develop a framework for modeling interpersonal alignment in terms of the structural similarity of the interlocutors' dialog lexica. This is done by means of so-called two-layer time-aligned network series, that is, a time-adjusted graph model. The graph model is partitioned into two layers, so that the interlocutors' lexica are captured as subgraphs of an encompassing dialog graph. Each constituent network of the series is updated utterance-wise. Thus, both the inherent bipartition of dyadic conversations and their gradual development are modeled. The notion of alignment is then operationalized within a quantitative model of structure formation based on the mutual information of the subgraphs that represent the interlocutor's dialog lexica. By adapting and further developing several models of complex network theory, we show that dialog lexica evolve as a novel class of graphs that have not been considered before in the area of complex (linguistic) networks. Additionally, we show that our framework allows for classifying dialogs according to their alignment status. To the best of our knowledge, this is the first approach to measuring alignment in communication that explores the similarities of graph-like cognitive representations.
Stichworte
network analysis;
quantitative;
mutual information of graphs;
graph distance measures;
linguistic networks;
structural coupling;
alignment in communication
Erscheinungsjahr
2010
Zeitschriftentitel
Entropy
Band
12
Ausgabe
6
Seite(n)
1440-1483
ISSN
1099-4300
eISSN
1099-4300
Page URI
https://pub.uni-bielefeld.de/record/1948769
Zitieren
Mehler A, Lücking A, Weiß P. A network model of interpersonal alignment in dialog. Entropy. 2010;12(6):1440-1483.
Mehler, A., Lücking, A., & Weiß, P. (2010). A network model of interpersonal alignment in dialog. Entropy, 12(6), 1440-1483. https://doi.org/10.3390/e12061440
Mehler, Alexander, Lücking, Andy, and Weiß, Petra. 2010. “A network model of interpersonal alignment in dialog”. Entropy 12 (6): 1440-1483.
Mehler, A., Lücking, A., and Weiß, P. (2010). A network model of interpersonal alignment in dialog. Entropy 12, 1440-1483.
Mehler, A., Lücking, A., & Weiß, P., 2010. A network model of interpersonal alignment in dialog. Entropy, 12(6), p 1440-1483.
A. Mehler, A. Lücking, and P. Weiß, “A network model of interpersonal alignment in dialog”, Entropy, vol. 12, 2010, pp. 1440-1483.
Mehler, A., Lücking, A., Weiß, P.: A network model of interpersonal alignment in dialog. Entropy. 12, 1440-1483 (2010).
Mehler, Alexander, Lücking, Andy, and Weiß, Petra. “A network model of interpersonal alignment in dialog”. Entropy 12.6 (2010): 1440-1483.
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