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Social Network Analysis and Mining (SNAM), http://www.springerlink.com/content/1869-5450/ (This is a preprint of an article accepted for publication in SNAM. DOI: 10.1007/s13278-011-0037-5)
 

Summary: Social Network Analysis and Mining (SNAM), http://www.springerlink.com/content/1869-5450/
(This is a preprint of an article accepted for publication in SNAM. DOI: 10.1007/s13278-011-0037-5)
Mining Latent Relations in Peer-Production Environments: A Case
Study with Wikipedia Article Similarity and Controversy
Chenliang Li Anwitaman Datta Aixin Sun
Received: date / Accepted: date
Abstract As people participate actively in social network-
ing and peer production sites, there are additional, implicit
relations that emerge from various user activities. Mining
such latent relations, or wisdom of crowds, is in itself an im-
portant area of ongoing research, with both general as well
as domain specific custom-made techniques. In this paper,
we propose a new similarity measure, which we call expert-
based similarity to discover semantic relations among Wiki-
pedia articles from the co-editorship perspective. Also, dif-
ferent kinds of relations among entities may reveal diverse
information. Both to explore and expose such a premise,
we carry out a case study leveraging on multiple relations
among Wikipedia articles. Specifically, we use expert-based
similarity as well as other standard similarity measures, to

  

Source: Aixin, Sun - School of Computer Engineering, Nanyang Technological University

 

Collections: Computer Technologies and Information Sciences