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Analyzing patterns of contribution to user‐generated tag hierarchies based on core user types
Author(s) -
Yang Yuyu,
Zhang Pengyi
Publication year - 2017
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.2017.14505401177
Subject(s) - hierarchy , relation (database) , preference , computer science , world wide web , social network analysis , core (optical fiber) , information retrieval , social media , data mining , statistics , mathematics , telecommunications , economics , market economy
Widely applied social tagging systems with semantic relations created by users have not been fully explored. This study aims to explore user types and their contribution during construction of the tag hierarchy of Zhihu.com , a social Q&A website in China. We conducted log analysis on 284,018 log records crawled from the website, conducted statistical analysis, social network and temporal analysis. Results show that there are four user types based on user editing preference: concept creator, concept reviser, relation editor and extensive contributor. Results suggest that there are plenty of differences between the four types, including the amount of contribution, the influence on collaboration and the temporal pattern. It was learned that relation editors play a most important role during the construction and extensive contributors contributed most on average. Besides, concept creators' activity level decreased from the beginning and concept revisers have a relatively stable activity pattern. These findings shed light on user contribution patterns during the collaborative construction of tag hierarchies.