Exploring social dynamics in online media sharing
Proceedings of the 16th international conference on World Wide Web
Identifying Document Topics Using the Wikipedia Category Network
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Talk Before You Type: Coordination in Wikipedia
HICSS '07 Proceedings of the 40th Annual Hawaii International Conference on System Sciences
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
Feedback effects between similarity and social influence in online communities
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Blocking links to minimize contamination spread in a social network
ACM Transactions on Knowledge Discovery from Data (TKDD)
Network analysis of collaboration structure in Wikipedia
Proceedings of the 18th international conference on World wide web
Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
Beyond Wikipedia: coordination and conflict in online production groups
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Finding social roles in Wikipedia
Proceedings of the 2011 iConference
Collective memory building in Wikipedia: the case of North African uprisings
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
Social relation extraction based on chinese wikipedia articles
CLSW'12 Proceedings of the 13th Chinese conference on Chinese Lexical Semantics
Use of transfer entropy to infer relationships from behavior
Proceedings of the Eighth Annual Cyber Security and Information Intelligence Research Workshop
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Wikipedia, the free online encyclopedia anyone can edit, is a live social experiment: millions of individuals volunteer their knowledge and time to collective create it. It is hence interesting trying to understand how they do it. While most of the scholar attention focused on article pages, a less investigated share of activities happen on user talk pages, Wikipedia pages where a message can be left for the specific user. This public conversations can be studied from a Social Network Analysis perspective in order to highlight the structure of the "talk" network. In this paper we focus on this preliminary extraction step by proposing different algorithms. We then empirically validate the differences in the networks they generate on the Venetian Wikipedia with the real network of conversations extracted manually by coding every message left on all user talk pages. The comparisons show that both the algorithms and the manual process contain inaccuracies that are intrinsic in the freedom and unpredictability of Wikipedia syntax and practices. Nevertheless, a precise description of the involved issues allows to make informed decisions and to base empirical findings on reproducible evidence. Our goal is to lay the foundation for a solid computational sociology of wikis. For this reason we release the scripts encoding our algorithms as open source and also some datasets extracted out of Wikipedia conversations, in order to let other researchers replicate and improve our initial effort.