research-article

What Users Actually Do in a Social Tagging System: A Study of User Behavior in BibSonomy

Authors:

Stephan Doerfel,

Philipp Singer,

Thomas Niebler,

Andreas Hotho, and

Markus StrohmaierAuthors Info & Claims

ACM Transactions on the Web (TWEB), Volume 10, Issue 2

Article No.: 14, Pages 1 - 32

https://doi.org/10.1145/2896821

Published: 20 May 2016 Publication History

Abstract

Social tagging systems have established themselves as an important part in today’s Web and have attracted the interest of our research community in a variety of investigations. Henceforth, several aspects of social tagging systems have been discussed and assumptions have emerged on which our community builds their work. Yet, testing such assumptions has been difficult due to the absence of suitable usage data in the past. In this work, we thoroughly investigate and evaluate four aspects about tagging systems, covering social interaction, retrieval of posted resources, the importance of the three different types of entities, users, resources, and tags, as well as connections between these entities’ popularity in posted and in requested content. For that purpose, we examine live server log data gathered from the real-world, public social tagging system BibSonomy. Our empirical results paint a mixed picture about the four aspects. Although typical assumptions hold to a certain extent for some, other aspects need to be reflected in a very critical light. Our observations have implications for the understanding of social tagging systems and the way they are used on the Web. We make the dataset used in this work available to other researchers.

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Cited By

Navarro Bullock BHotho AStumme G(2018)Accessing Information with Tags: Search and RankingSocial Information Access10.1007/978-3-319-90092-6_9(310-343)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_9
Rawashdeh MShorfuzzaman MArtoli AShamim Hossain MGhoneim A(2017)Mining tag-clouds to improve social media recommendationMultimedia Tools and Applications10.1007/s11042-016-4039-176:20(21157-21170)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1007/s11042-016-4039-1
Niebler TBecker MZoller DDoerfel SHotho AMukhopadhyay SZhai CBertino ECrestani FMostafa JTang JSi LZhou XChang YLi YSondhi P(2016)FolkTrailsProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983686(2311-2316)Online publication date: 24-Oct-2016
https://dl.acm.org/doi/10.1145/2983323.2983686

Index Terms

What Users Actually Do in a Social Tagging System: A Study of User Behavior in BibSonomy
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools
      1. Social tagging systems
    2. Collaborative and social computing theory, concepts and paradigms
      1. Social tagging
2. Information systems
  1. World Wide Web
    1. Web mining
      1. Web log analysis

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Published In

cover image ACM Transactions on the Web

ACM Transactions on the Web Volume 10, Issue 2

May 2016

214 pages

ISSN:1559-1131

EISSN:1559-114X

DOI:10.1145/2932204

Editors:
Brian D. Davison
Lehigh University, USA
,
Marianne Winslett
University of Illinois at Urbana-Champaign

Issue’s Table of Contents

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 May 2016

Accepted: 01 February 2016

Revised: 01 December 2015

Received: 01 June 2015

Published in TWEB Volume 10, Issue 2

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Cited By

Navarro Bullock BHotho AStumme G(2018)Accessing Information with Tags: Search and RankingSocial Information Access10.1007/978-3-319-90092-6_9(310-343)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_9
Rawashdeh MShorfuzzaman MArtoli AShamim Hossain MGhoneim A(2017)Mining tag-clouds to improve social media recommendationMultimedia Tools and Applications10.1007/s11042-016-4039-176:20(21157-21170)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1007/s11042-016-4039-1
Niebler TBecker MZoller DDoerfel SHotho AMukhopadhyay SZhai CBertino ECrestani FMostafa JTang JSi LZhou XChang YLi YSondhi P(2016)FolkTrailsProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983686(2311-2316)Online publication date: 24-Oct-2016
https://dl.acm.org/doi/10.1145/2983323.2983686

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