Page 172 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2018 Vol. 43

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172 Journal of Library Science in China, Vol.9, 2017

the growth of domain knowledge communities. The knowledge network at level filters to get the
significant correlations by threshold. Some once-prominent knowledge nodes and correlations
fade out of the knowledge community, and the number and scale of the communities are reduced
and condensed. In this article, a knowledge network at level extraction method based on scale and
fractal, which extends the identification way of knowledge and correlation in knowledge network
analysis, is proposed to provide a new way for knowledge networks to process large-scale data.
The correlation-driven domain knowledge community growth patterns in this study can capture
the most critical factors in the evolution of knowledge communities in the process of knowledge
evolution. Although there is no elasticity in time granularity and dimensions of cross-discovery, the
revelation of correlation-driven domain knowledge community growth patterns helps to grasp the
evolution venation of knowledge community, which has a positive effect on revealing the law of
domain knowledge development.

Research on college student’s mobile search behavior based on APP usage
〇a*
WU Dan〇, LIANG Shaobo & TANG Yuan
As the number and type of APPs are growing rapidly and the mobile search has become more
popular, the research focusing on the association between the mobile search behavior and the APP
usages can contribute to grasping users’ search habits and to providing better search services. So
this study mainly focuses on two aspects: 1)the relationship between college student’s mobile
search session, query and APP interaction; 2)the relationship between the temporal factors, search
topic factors and APP interaction.
By mining and surveying the mobile phone logs of 30 college students from different
universities and different disciplines in a fifteen-day user study, this paper quantitatively analyzed
the relationship between the users’ mobile search sessions, queries and APP usages, as well as the
relationship between the search topic, search time and the type of APPs. A deep interview after
experiment was also conducted to perform a qualitative study.
The study found that there were some interactions with other APPs in the mobile search sessions,
the college student’s search behavior was accompanied with other interactions with mobile phone,
with an obvious phenomenon of cross APPs. These APP interactions were closely related to the
mobile searches, such as switching APPs to continue searching, browsing and sharing the search
results, etc. Besides, college students were more inclined to search by specialty APPs. They even
used more specialty APPs in complex mobile search sessions. While, they didn’t tend to use
specialty APPs when searched for information about science, news, health and games. Secondly,
the type of APPs used in college student’s mobile search could lead to the different distribution of

* Correspondence should be addressed to WU Dan, Email: woodan@whu.edu.cn, ORCID: 0000-0002-2611-7317