Social networks of Wikipedia

@inproceedings{Massa2011SocialNO,
  title={Social networks of Wikipedia},
  author={Paolo Massa},
  booktitle={HT '11},
  year={2011}
}
  • P. Massa
  • Published in HT '11 6 June 2011
  • Computer Science
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… 

Figures and Tables from this paper

Wikipedia and its Network of Human and Automated Authors from a Social Network Perspective
TLDR
The dynamics of the publicly available collaboration network of the Wikipedia authors is investigated as an example for an OSN-like network and it is demonstrated that it exhibits prominent similarities to well known social networks such as the small-world phenomenon.
Beyond friendships and followers: The Wikipedia social network
TLDR
This paper creates a person-centric network from unstructured text - the Wikipedia Social Network and uses state-of-the-art algorithms for community detection in massive networks to identify interesting communities and evaluate them against Wikipedia categories.
Wikipedia and its network of authors from a social network perspective
TLDR
The temporal evolution of the publicly available collaboration network of the Wikipedia authors is studied and it is demonstrated that it exhibits prominent similarities to well known social networks such as the small-world phenomenon, indicating that the insights gained from the analysis of Wikipedia's collaboration network might be transferable to social networks in general.
Visualization of the evolution of collaboration and communication networks in wikis
TLDR
This work presents a web application, WikiChron networks, to facilitate the study of the evolution of wiki communities over time, and illustrates the usefulness of the tool analyzing the Evolution of a wiki community in different moments and showing network structures that can be seen in other wiki communities.
Extracting and Visualizing User Engagement on Wikipedia Talk Pages
TLDR
This paper demonstrates how consumer hardware can be used to create a local database of Wikipedia’s full edit history from their public XML data dumps and creates and presents the first visualizations of how editing on talk pages differs between user groups.
Users roles identification on online crowdsourced Q&A platforms and encyclopedias: a survey
TLDR
This work presents a survey of users’ social roles that have been identified on online discussion and Q&A platforms including Usenet newsgroups, Reddit, Stack Exchange, and MOOC forums, as well as on crowdsourced encyclopedias, such as Wikipedia, and Baidu Baike.
The implications of Wikipedia for contemporary science education: using social network analysis techniques for automatic organisation of knowledge
TLDR
This paper analyzes a complete copy of the Spanish Wikipedia and concludes that science articles are about 11.66 % of Spanish Wikipedia articles and that the most important clusters of scientific articles do not always coincide with classical Science disciplines.
Analysis of Cluster Structure in Large-Scale English Wikipedia Category Networks
TLDR
A framework for analysing the structure of a large-scale social media network, a topic of significant recent interest, is proposed and the number of categories, number of clusters of size two, and the size of the largest cluster within the graph all appear to follow power laws in the threshold t.
A Survey of NLP Methods and Resources for Analyzing the Collaborative Writing Process in Wikipedia
TLDR
This chapter focuses on Wikipedia as the most prominent instance of collaboratively constructed language resources and the significance of Wikipedi’s revision history for applications in Natural Language Processing (NLP) and the unique prospects of the user discussions, a new resource that has just begun to be mined.
Use of transfer entropy to infer relationships from behavior
TLDR
It is shown that networks of individuals inferred using the transfer entropy of Wikipedia editing behavior predicts observed "ground truth" social networks with a precision approximately 20 times higher than would be expected by chance.
...
...

References

SHOWING 1-10 OF 27 REFERENCES
Us vs. Them: Understanding Social Dynamics in Wikipedia with Revert Graph Visualizations
TLDR
Revert Graph is constructed, a tool that visualizes the overall conflict patterns between groups of users and enables visual analysis of opinion groups and rapid interactive exploration of those relationships via detail drill- downs.
Wikipedias: collaborative web-based encyclopedias as complex networks.
TLDR
An analysis of Wikipedias in several languages as complex networks is presented, showing that many network characteristics are common to different language versions of Wikipedia, such as their degree distributions, growth, topology, reciprocity, clustering, assortativity, path lengths, and triad significance profiles.
Finding social roles in Wikipedia
TLDR
The number of new editors playing helpful roles in a single month's cohort nearly equal the number found in the dedicated sample, suggesting that informal socialization has the potential provide sufficient role related labor despite growth and change in Wikipedia.
Talk Before You Type: Coordination in Wikipedia
TLDR
The results suggest that despite the potential for anarchy, the Wikipedia community places a strong emphasis on group coordination, policy, and process.
Preferential attachment in the growth of social networks: the case of Wikipedia
TLDR
An analysis of the statistical properties and growth of the free on-line encyclopedia Wikipedia is presented, which can be described by local rules such as the preferential attachment mechanism, though users, who are responsible of its evolution, can act globally on the network.
Identifying Document Topics Using the Wikipedia Category Network
  • Péter Schönhofen
  • Computer Science
    2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06)
  • 2006
TLDR
It is shown that even a simple algorithm that exploits only the titles and categories of Wikipedia articles can characterize documents by Wikipedia categories surprisingly well.
Network analysis of collaboration structure in Wikipedia
In this paper we give models and algorithms to describe and analyze the collaboration among authors of Wikipedia from a network analytical perspective. The edit network encodes who interacts how with
Network Analysis for Wikipedia
TLDR
Two relevance metrics, HITS and PageRank, are applied to the whole set of English Wikipedia entries in order to gain some preliminary insights on the macro-structure of the organization of the corpus, and on some cultural biases related to network analysis techniques.
Measurement and analysis of online social networks
TLDR
This paper examines data gathered from four popular online social networks: Flickr, YouTube, LiveJournal, and Orkut, and reports that the indegree of user nodes tends to match the outdegree; the networks contain a densely connected core of high-degree nodes; and that this core links small groups of strongly clustered, low-degree node at the fringes of the network.
...
...