What Users Actually Do in a Social Tagging System
What Users Actually Do in a Social Tagging System
复制标题
用户在社交标签系统中实际做了什么
DOI:
10.1145/2896821
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发表时间:
2016
期刊:
影响因子:
--
通讯作者:
Markus Strohmaier
中科院分区:
文献类型:
--
作者:
Stephan Doerfel;Daniel Zoller;Philipp Singer;Thomas Niebler;Andreas Hotho;Markus Strohmaier
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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影响因子:
4.8
作者:
M. Agosti;F. Crivellari;Giorgio Maria Di Nunzio
通讯作者:
Giorgio Maria Di Nunzio
DOI:
--
发表时间:
2011
期刊:
ACM/IEEE Joint Conference on Digital Libraries
影响因子:
--
作者:
Juliane Stiller;Maria Gäde;V. Petras
通讯作者:
V. Petras
DOI:
10.1145/1644893.1644899
发表时间:
2009-11
期刊:
--
影响因子:
--
作者:
Fabian Schneider;A. Feldmann;B. Krishnamurthy;W. Willinger
通讯作者:
Fabian Schneider;A. Feldmann;B. Krishnamurthy;W. Willinger
影响因子:
8.6
作者:
Mossa, S;Barthélémy, M;Amaral, LAN
通讯作者:
Amaral, LAN
DOI:
--
发表时间:
2015
期刊:
Social Computing, Behavioral Modeling, and Prediction
影响因子:
--
作者:
Jared Lorince;K. Joseph;P. Todd
通讯作者:
P. Todd