@article{2019:zhang:informatio,
title = {Information Organization Patterns from Online Users in a Social Network},
year = {2019},
note = {Recent years have seen the rise of user-generated contents (UGCs) in
online social media. Diverse UGC sources and information overload are
making it increasingly difficult to satisfy personalized information
needs. To organize UGCs in a user-centered way, we should not only map
them based on textual topics but also link them with users and even
user communities. We propose a multi-dimensional framework to organize
information by connecting UGCs, users, and user communities. First, we
use a topic model to generate a topic hierarchy from UGCs. Second, an
author-topic model is applied to learn user interests. Third, user
communities are detected through a label propagation algorithm.
Finally, a multi-dimensional information organization pattern is
formulated based on similarities among the topic hierarchies of UGCs,
user interests, and user communities. The results reveal that: 1) our
proposed framework can organize information from multiple sources in a
user-centered way; 2) hierarchical topic structures can provide
comprehensive and in-depth topics for users; and, 3) user communities
are efficient in helping people to connect with others who have
similar interests.},
journal = {KO KNOWLEDGE ORGANIZATION},
pages = {90--103},
author = {Zhang, Chengzhi and Zhao, Hua and Chi, Xuehua and Ma, Shuitian},
volume = {46},
number = {2}
}