Measuring the Topical Specificity of Online Communities

Abstract: For community managers and hosts it is not only important to identify the current key topics of a community but also to assess the specificity level of the community for: a) creating sub-communities, and: b) anticipating community behaviour and topical evolution. In this paper we present an approach that empirically characterises the topical specificity of online community forums by measuring the abstraction of semantic concepts discussed within such forums. We present a range of concept abstraction measures that function over concept graphs - i.e. resource type-hierarchies and SKOS category structures - and demonstrate the efficacy of our method with an empirical evaluation using a ground truth ranking of forums. Our results show that the proposed approach outperforms a random baseline and that resource type-hierarchies work well when predicting the topical specificity of any forum with various abstraction measures

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource, 472-486 S.
Language
Englisch
Notes
Veröffentlichungsversion
begutachtet (peer reviewed)
In: Cimiano, Philipp (Hg.), Corcho, Oscar (Hg.), Presutti, Valentina (Hg.), Hollink, Laura (Hg.), Rudolph, Sebastian (Hg.): The Semantic Web: Semantics and Big Data; 10th International Conference, ESWC 2013, Montpellier, France, May 26-30, 2013: Proceedings. 2013. S. 472-486. ISBN 978-3-642-38288-8

Bibliographic citation
The Semantic Web: Semantics and Big Data; 10th International Conference, ESWC 2013, Montpellier, France, May 26-30, 2013: Proceedings ; Bd. 7882
Lecture Notes in Computer Science (LNCS) ; Bd. 7882

Event
Veröffentlichung
(where)
Berlin
(who)
Springer
(when)
2013
Event
Veröffentlichung
(where)
Mannheim
(who)
SSOAR - Social Science Open Access Repository
(when)
2013
Creator
Rowe, Matthew
Wagner, Claudia
Strohmaier, Markus
Alani, Harith
Contributor
Cimiano, Philipp
Corcho, Oscar
Presutti, Valentina
Hollink, Laura
Rudolph, Sebastian

DOI
10.1007/978-3-642-38288-8_32
URN
urn:nbn:de:0168-ssoar-66076-7
Rights
Open Access unbekannt; Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:22 AM CEST

Data provider

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Associated

  • Rowe, Matthew
  • Wagner, Claudia
  • Strohmaier, Markus
  • Alani, Harith
  • Cimiano, Philipp
  • Corcho, Oscar
  • Presutti, Valentina
  • Hollink, Laura
  • Rudolph, Sebastian
  • Springer
  • SSOAR - Social Science Open Access Repository

Time of origin

  • 2013

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