Paper Info
Title
Applicability of Sequence Analysis Methods in Analyzing Peer-Production Systems: A Case Study in Wikidata.
Abstract
Building a shared understanding of a specific area of interest is of increasing importance in today's information-centric world. A shared understanding of a domain can be realized by building a structured knowledge base about it collaboratively. Our research is driven by the goal to understand participation patterns over time in collaborative knowledge building efforts. Consequently, we focus our study on one representative project - Wikidata. Wikidata is a free, structured knowledge base that provides structured data to Wikipedia and other Wikimedia projects. This paper builds upon previous research, where we identified six common participation patterns, i.e. roles, in Wikidata. In the research presented here, we study the applicability of sequence analysis methods by analyzing the dynamics in users' participation patterns. The sequence analysis is judged by its ability to answer three questions: (i) "Are there any preferable role transitions in Wikidata?"; (ii) "What are the dominant dynamic participation patterns?"; (iii) "Are users who join earlier more turbulent contributors?" Our data set includes participation patterns of about 20,000 users in each month from October 2012 to October 2014. We show that sequence analysis methods are able to infer interesting role transitions in Wikidata, find dominant dynamic participation patterns, and make statistical inferences. Finally, we also discuss the significance of these results with respect to the understanding of the participation process in Wikidata.
Year
DOI
Venue
2016
10.1007/978-3-319-47874-6_11
Lecture Notes in Computer Science
Keywords
Field
DocType
Sequence analysis,Peer-production system,User behavior,Wikidata
Data science,Data mining,Computer science,Peer production,Knowledge building,Statistical inference,Knowledge base,Data model,Area of interest
Conference
Volume
ISSN
Citations 
10047
0302-9743
0
PageRank 
References 
Authors
0.34
6
2
Name
Order
Citations
PageRank
To Tu Cuong111.04
Claudia Müller-Birn2349.95