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» A method to predict social annotations
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149
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WWW
2009
ACM
16 years 4 months ago
The slashdot zoo: mining a social network with negative edges
We analyse the corpus of user relationships of the Slashdot technology news site. The data was collected from the Slashdot Zoo feature where users of the website can tag other use...
Andreas Lommatzsch, Christian Bauckhage, Jé...
122
Voted
CSE
2009
IEEE
15 years 10 months ago
Inferring Unobservable Inter-community Links in Large Social Networks
Abstract—Social networks can be used to model social interactions between individuals. In many circumstances, not all interactions between individuals are observed. In such cases...
Heath Hohwald, Manuel Cebrián, Arturo Canal...
136
Voted
ICML
2009
IEEE
16 years 4 months ago
Learning spectral graph transformations for link prediction
We present a unified framework for learning link prediction and edge weight prediction functions in large networks, based on the transformation of a graph's algebraic spectru...
Andreas Lommatzsch, Jérôme Kunegis
MMM
2010
Springer
230views Multimedia» more  MMM 2010»
16 years 25 days ago
Learning Landmarks by Exploiting Social Media
This paper introduces methods for automatic annotation of landmark photographs via learning textual tags and visual features of landmarks from landmark photographs that are appropr...
Chia-Kai Liang, Yu-Ting Hsieh, Tien-Jung Chuang, Y...
WWW
2009
ACM
13 years 12 months ago
The slashdot zoo: mining a social network with negative edges
We analyse the corpus of user relationships of the Slashdot technology news site. The data was collected from the Slashdot Zoo feature where users of the website can tag other user...
J. Kunegis, A. Lomatzsch, and C. Bauckhage