Visual Analytics of Conversational Dynamics

Seebacher, Daniel; Fischer, Maximilian T.; Sevastjanova, Rita; Keim, Daniel A.; El-Assady, Mennatallah

Visual Analytics of Conversational Dynamics

Dateien

Seebacher_2-1snexapci9d0a9.pdfGröße: 146.39 KBDownloads: 110

Datum

2019

Angaben zur Forschungsförderung

European Union (EU): 700381

Projekt

ASGARD - Analysis System For Gathered Raw Data

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

Publikationsstatus

Published

Erschienen in

VON LANDESBERGER, Tatiana, ed., Cagatay TURKAY, ed.. EuroVis Workshop on Visual Analytics (EuroVA). Genf: The Eurographics Association, 2019. ISBN 978-3-03868-087-1. Available under: doi: 10.2312/eurova.20191130

Zusammenfassung

Large-scale interaction networks of human communication are often modeled as complex graph structures, obscuring temporal patterns within individual conversations. To facilitate the understanding of such conversational dynamics, episodes with low or high communication activity as well as breaks in communication need to be detected to enable the identification of temporal interaction patterns. Traditional episode detection approaches are highly dependent on the choice of parameters, such as window-size or binning-resolution. In this paper, we present a novel technique for the identification of relevant episodes in bi-directional interaction sequences from abstract communication networks. We model communication as a continuous density function, allowing for a more robust segmentation into individual episodes and estimation of communication volume. Additionally, we define a tailored feature set to characterize conversational dynamics and enable a user-steered classification of communication behavior. We apply our technique to a real-world corpus of email data from a large European research institution. The results show that our technique allows users to effectively define, identify, and analyze relevant communication episodes.

Fachgebiet (DDC)

004 Informatik

Konferenz

EuroVis Workshop on Visual Analytics (EuroVA), 3. Juni 2019, Porto, Portugal

Zitieren

ISO 690

SEEBACHER, Daniel, Maximilian T. FISCHER, Rita SEVASTJANOVA, Daniel A. KEIM, Mennatallah EL-ASSADY, 2019. Visual Analytics of Conversational Dynamics. EuroVis Workshop on Visual Analytics (EuroVA). Porto, Portugal, 3. Juni 2019. In: VON LANDESBERGER, Tatiana, ed., Cagatay TURKAY, ed.. EuroVis Workshop on Visual Analytics (EuroVA). Genf: The Eurographics Association, 2019. ISBN 978-3-03868-087-1. Available under: doi: 10.2312/eurova.20191130

BibTex

@inproceedings{Seebacher2019Visua-46437,
  year={2019},
  doi={10.2312/eurova.20191130},
  title={Visual Analytics of Conversational Dynamics},
  isbn={978-3-03868-087-1},
  publisher={The Eurographics Association},
  address={Genf},
  booktitle={EuroVis Workshop on Visual Analytics (EuroVA)},
  editor={von Landesberger, Tatiana and Turkay, Cagatay},
  author={Seebacher, Daniel and Fischer, Maximilian T. and Sevastjanova, Rita and Keim, Daniel A. and El-Assady, Mennatallah}
}

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Universitätsbibliographie

Ja