Appendix: A primer on heavy-tailed distributions
Queueing Systems: Theory and Applications
The Size of the Giant Component of a Random Graph with a Given Degree Sequence
Combinatorics, Probability and Computing
Mining directed social network from message board
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Social Information Processing in News Aggregation
IEEE Internet Computing
Statistical analysis of the social network and discussion threads in slashdot
Proceedings of the 17th international conference on World Wide Web
The slashdot zoo: mining a social network with negative edges
Proceedings of the 18th international conference on World wide web
Predicting positive and negative links in online social networks
Proceedings of the 19th international conference on World wide web
User generated content consumption and social networking in knowledge-sharing OSNs
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
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This study analyses and contrasts the explicit (articulated) and implicit (behavioural) social networks on the Spanish Digg-like social news website meneame.net. The explicit network is given in the form of declared but not necessarily bidirectional friendship links; the behavioural network is extracted from conversations through comments to the shared links. These two directed social networks and their intersection are analysed and described in detail, which leads to some important conclusions about user behaviour on link sharing websites and online conversation habits in general. We find that reply interactions are more likely to occur between non-friends and that these interactions are (if bidirectional) also more balanced in the case of non-friends. A k-core decomposition of the networks reveals a fundamental difference in the practice of establishing behavioural and articulated links.