creators_name: Kunegis, Jérôme creators_name: Lommatzsch, Andreas creators_name: Bauckhage, Christian type: conference_item datestamp: 2009-04-06 19:10:45 lastmod: 2009-04-23 00:52:35 metadata_visibility: show title: The Slashdot Zoo: Mining a Social Network with Negative Edges ispublished: pub full_text_status: public pres_type: paper abstract: We analyse the corpus of user relationships of the Slash- dot technology news site. The data was collected from the Slashdot Zoo feature where users of the website can tag other users as friends and foes, providing positive and negative en- dorsements. We adapt social network analysis techniques to the problem of negative edge weights. In particular, we con- sider signed variants of global network characteristics such as the clustering coefficient, node-level characteristics such as centrality and popularity measures, and link-level character- istics such as distances and similarity measures. We evaluate these measures on the task of identifying unpopular users, as well as on the task of predicting the sign of links and show that the network exhibits multiplicative transitivity which allows algebraic methods based on matrix multiplication to be used. We compare our methods to traditional methods which are only suitable for positively weighted edges. date: 2009-04 pagerange: 741-741 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: Kunegis, Jérôme and Lommatzsch, Andreas and Bauckhage, Christian (2009) The Slashdot Zoo: Mining a Social Network with Negative Edges. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/75/1/p741.pdf document_url: http://www2009.eprints.org/75/2/presentation6.ppt document_url: http://www2009.eprints.org/75/3/fp348-kunegis.pdf