DocumentCode
1231793
Title
Social networks applied
Author
Staab, S. ; Domingos, P. ; Golbeck, Jennifer ; Li Ding ; Finin, Tim ; Joshi, Akanksha ; Nowak, Alexander
Author_Institution
Univ. of Koblenz, Landau, Germany
Volume
20
Issue
1
fYear
2005
Firstpage
80
Lastpage
93
Abstract
Social networks have interesting properties. They influence our lives enormously without us being aware of the implications they raise. The authors investigate the following areas concerning social networks: how to exploit our unprecedented wealth of data and how we can mine social networks for purposes such as marketing campaigns; social networks as a particular form of influence, i.e.., the way that people agree on terminology and this phenomenon´s implications for the way we build ontologies and the Semantic Web; social networks as something we can discover from data; the use of social network information to offer a wealth of new applications such as better recommendations for restaurants, trustworthy email senders, or (maybe) blind dates; investigation of the richness and difficulty of harvesting FOAF (friend-of-a-friend) information; and by looking at how information processing is bound to social context, the resulting ways that network topology´s definition determines its outcomes.
Keywords
data mining; ontologies (artificial intelligence); semantic Web; semantic networks; social sciences computing; Semantic Web; data mining; friend-of-a-friend information; information processing; marketing; ontology; social network; Computational modeling; Information processing; Marketing and sales; Ontologies; Power system modeling; Semantic Web; Service oriented architecture; Shape; Social network services; Terminology; Semantic Web; friend of a friend; network topology; ontology; social networks;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2005.16
Filename
1392679
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