A network model of interpersonal alignment in dialog
- 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. Keywords: alignment in communication; structural coupling; linguistic networks; graph distance measures; mutual information of graphs; quantitative network analysis
Author: | Alexander MehlerORCiDGND, Andy LückingORCiD, Petra Weiß |
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URN: | urn:nbn:de:hebis:30-113032 |
DOI: | https://doi.org/10.3390/e12061440 |
ISSN: | 1099-4300 |
Parent Title (English): | Entropy |
Publisher: | MDPI |
Place of publication: | Basel |
Document Type: | Article |
Language: | English |
Date of Publication (online): | 2011/08/24 |
Year of first Publication: | 2010 |
Publishing Institution: | Universitätsbibliothek Johann Christian Senckenberg |
Release Date: | 2011/08/24 |
Tag: | alignment in communication structural coupling; linguistic networks graph distance measures; mutual information of graphs |
Volume: | 12 |
Issue: | 6 |
Page Number: | 44 |
First Page: | 1440 |
Last Page: | 1483 |
Note: | (c) 2010 by the authors; licensee MDPI, Basel, Switzerland. This article is an Open Access article distributed under the terms and conditions of the Creative Commons Attribution license http://creativecommons.org/licenses/by/3.0/. |
Source: | Entropy 2010, 12, 1440-1483; doi: 10.3390/e12061440 ; http://www.mdpi.com/1099-4300/12/6/1440/ ; ISSN 1099-4300 |
HeBIS-PPN: | 274604353 |
Institutes: | Informatik und Mathematik / Informatik |
Dewey Decimal Classification: | 4 Sprache / 40 Sprache / 400 Sprache |
Sammlungen: | Universitätspublikationen |
Linguistik | |
Licence (German): | Creative Commons - Namensnennung 3.0 |