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Social Network Analysis and Mining
Published in:

01-12-2016 | Original Article

Detecting experts on Quora: by their activity, quality of answers, linguistic characteristics and temporal behaviors

Authors: Sumanth Patil, Kyumin Lee

Published in: Social Network Analysis and Mining | Issue 1/2016

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Abstract

Quora is a fast growing social Q&A site where users create and answer questions, and identify the best answers by upvotes and downvotes with crowd wisdom. Unfortunately, little is known about properties of experts and non-experts and how to detect experts in general topics or a specific topic. To fill the gaps, in this manuscript we (1) analyze behaviors of experts and non-experts in five popular topics; (2) propose user activity features, quality of answer features, linguistic features and temporal features to identify distinguishing patterns between experts and non-experts; and (3) develop statistical models based on the features to automatically detect experts. Our experimental results show that our classifiers effectively identify experts in general topics and a specific topic, achieving up to 97 % accuracy and 0.987 AUC.
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Metadata
Title
Detecting experts on Quora: by their activity, quality of answers, linguistic characteristics and temporal behaviors
Authors
Sumanth Patil
Kyumin Lee
Publication date
01-12-2016
Publisher
Springer Vienna
Published in
Social Network Analysis and Mining / Issue 1/2016
Print ISSN: 1869-5450
Electronic ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-015-0313-x

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