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Multi-aspect Entity-Centric Analysis of Big Social Media Archives

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Research and Advanced Technology for Digital Libraries (TPDL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10450))

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Abstract

Social media archives serve as important historical information sources, and thus meaningful analysis and exploration methods are of immense value for historians, sociologists and other interested parties. In this paper, we propose an entity-centric approach to analyze social media archives and we define measures that allow studying how entities are reflected in social media in different time periods and under different aspects (like popularity, attitude, controversiality, and connectedness with other entities). A case study using a large Twitter archive of 4 years illustrates the insights that can be gained by such an entity-centric multi-aspect analysis.

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Notes

  1. 1.

    http://www.internetlivestats.com/twitter-statistics/ (June 21, 2017).

  2. 2.

    http://spark.apache.org/.

  3. 3.

    https://github.com/iosifidisvasileios/Large-Scale-Entity-Analysis.

  4. 4.

    http://l3s.de/~iosifidis/tpdl2017/. For each tweet the dataset includes the following information: ID, user (encrypted), post date, extracted entities, positive and negative sentiment values. The text of the tweets is not provided for copyright purposes.

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Acknowledgements

The work was partially funded by the European Commission for the ERC Advanced Grant ALEXANDRIA under grant No. 339233.

Author information

Authors and Affiliations

  1. L3S Research Center, University of Hannover, Hanover, Germany

    Pavlos Fafalios, Vasileios Iosifidis & Eirini Ntoutsi

  2. Faculty of Natural Sciences, University of Tampere, Tampere, Finland

    Kostas Stefanidis

Authors
  1. Pavlos Fafalios
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  2. Vasileios Iosifidis
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  3. Kostas Stefanidis
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  4. Eirini Ntoutsi
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Corresponding author

Correspondence to Vasileios Iosifidis .

Editor information

Editors and Affiliations

  1. Faculteit der Geesteswetenschappen, Universiteit van Amsterdam , Amsterdam, The Netherlands

    Jaap Kamps

  2. Library & Information Center, University of Patras , Patras, Greece

    Giannis Tsakonas

  3. Aristotle University of Thessaloniki , Thessaloniki, Greece

    Yannis Manolopoulos

  4. Civil Engineering, University of Thrace , Kimmeria, Greece

    Lazaros Iliadis

  5. Informatics, Ionian University , Kerkyra, Greece

    Ioannis Karydis

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Fafalios, P., Iosifidis, V., Stefanidis, K., Ntoutsi, E. (2017). Multi-aspect Entity-Centric Analysis of Big Social Media Archives. In: Kamps, J., Tsakonas, G., Manolopoulos, Y., Iliadis, L., Karydis, I. (eds) Research and Advanced Technology for Digital Libraries. TPDL 2017. Lecture Notes in Computer Science(), vol 10450. Springer, Cham. https://doi.org/10.1007/978-3-319-67008-9_21

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  • DOI: https://doi.org/10.1007/978-3-319-67008-9_21

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  • Print ISBN: 978-3-319-67007-2

  • Online ISBN: 978-3-319-67008-9

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