NDLI: Tag spam creates large non-giant connected components

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Tag spam creates large non-giant connected components

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Tag spam creates large non-giant connected components

Content Provider	ACM Digital Library
Author	Neubauer, Nicolas Obermayer, Klaus Wetzker, Robert
Abstract	Spammers in social bookmarking systems try to mimick bookmarking behaviour of real users to gain the attention of other users or search engines. Several methods have been proposed for the detection of such spam, including domain-specific features (like URL terms) or similarity of users to previously identified spammers. However, as shown in our previous work, it is possible to identify a large fraction of spam users based on purely structural features. The hypergraph connecting documents, users, and tags can be decomposed into connected components, and any large, but non-giant components turned out to be almost entirely inhabitated by spam users in the examined dataset. Here, we test to what degree the decomposition of the complete hypergraph is really necessary, examining the component structure of the induced user/document and user/tag graphs. While the user/tag graph's connectivity does not help in classifying spammers, the user/document graph's connectivity is already highly informative. It can however be augmented with connectivity information from the hypergraph. In our view, spam detection based on structural features, like the one proposed here, requires complex adaptation strategies from spammers and may complement other, more traditional detection approaches.
Starting Page	49
Ending Page	52
Page Count	4
File Format	PDF
ISBN	9781605584386
DOI	10.1145/1531914.1531925
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-04-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Connected components Tagging Spam detection
Content Type	Text
Resource Type	Article

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