A Survey on Visual Analytics of Social Media Data

Wu, Yingcai; Cao, Nan; Gotz, David; Tan, Yap-Peng; Keim, Daniel A.

A Survey on Visual Analytics of Social Media Data

Dateien

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Datum

2016

Autor:innen

Wu, Yingcai

Cao, Nan

Gotz, David

Tan, Yap-Peng

Keim, Daniel A.

Open Access-Veröffentlichung

Open Access Green

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

IEEE Transactions on Multimedia. 2016, 18(11), pp. 2135-2148. ISSN 1520-9210. eISSN 1941-0077. Available under: doi: 10.1109/TMM.2016.2614220

Zusammenfassung

The unprecedented availability of social media data offers substantial opportunities for data owners, system operators, solution providers, and end users to explore and understand social dynamics. However, the exponential growth in the volume, velocity, and variability of social media data prevents people from fully utilizing such data. Visual analytics, which is an emerging research direction, has received considerable attention in recent years. Many visual analytics methods have been proposed across disciplines to understand large-scale structured and unstructured social media data. This objective, however, also poses significant challenges for researchers to obtain a comprehensive picture of the area, understand research challenges, and develop new techniques. In this paper, we present a comprehensive survey to characterize this fast-growing area and summarize the state-of-the-art techniques for analyzing social media data. In particular, we classify existing techniques into two categories: gathering information and understanding user behaviors. We aim to provide a clear overview of the research area through the established taxonomy. We then explore the design space and identify the research trends. Finally, we discuss challenges and open questions for future studies.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

WU, Yingcai, Nan CAO, David GOTZ, Yap-Peng TAN, Daniel A. KEIM, 2016. A Survey on Visual Analytics of Social Media Data. In: IEEE Transactions on Multimedia. 2016, 18(11), pp. 2135-2148. ISSN 1520-9210. eISSN 1941-0077. Available under: doi: 10.1109/TMM.2016.2614220

BibTex

@article{Wu2016Surve-37784,
  year={2016},
  doi={10.1109/TMM.2016.2614220},
  title={A Survey on Visual Analytics of Social Media Data},
  number={11},
  volume={18},
  issn={1520-9210},
  journal={IEEE Transactions on Multimedia},
  pages={2135--2148},
  author={Wu, Yingcai and Cao, Nan and Gotz, David and Tan, Yap-Peng and Keim, Daniel A.}
}

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Universitätsbibliographie

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