Page 176 - JOURNAL OF LIBRARY SCIENCE IN CHINA 2018 Vol. 44

175
Extended English abstracts of articles published in the Chinese edition of Journal of Library Science in China 2018 Vol.44 175

privacy algorithm, under the model framework of users’ behavior privacy protection.
Both theoretical analysis and experimental evaluation demonstrate the feasibility of the
framework and model proposed in this paper, i.e., by constructing dummy behaviors of
semantically irrelevant categories, the significance of users’ sensitive preferences on the untrusted
server-side can be reduced effectively (thereby,resulting in a good cover-up effect); and by
constructing dummy behaviors of highly-similar feature distributions with user behaviors, it is
difficult for attackers to rule out the dummy behaviors (thereby,resulting in a good mix-up effect).
This paper is the first research attempt to the protection of user behavior privacy in a digital
library. The privacy framework proposed in this paper can ensure the security of user behaviors
on the untrusted server-side, without compromising the availability, accuracy and efficiency of
information services in a digital library, resulting in a positive significance to the development of
a privacy-preserving digital library. However, this paper only describes a privacy framework at a
high level of abstraction. In a digital library, there are various forms of behavior privacy (such as
recommendation behavior and retrieval behavior). As the future work, we need to further study
how to design and implement the corresponding privacy protection algorithm for each kind of user
behavior.

Study of language distribution in informal scientific communication from the
perspective of scientific tweets
YU Houqiang〇, DONG Ke, WANG Yuefen & ZHANG Chengzhi
〇a*

Language is a media of scientific communication. Language distribution of scientific
communication reflects the status of global scientific power. The study, based on scientific tweets,
has revealed the language distribution in informal scientific communication, and comparative
analysis is done with language distribution of scientific literature, in order to help understand the
function and influence of major languages in informal scientific communication in major countries
around the world.
Firstly, bibliographic data were collected from Scopus for scientific publications of all languages
published in June 2015, including country, discipline, citation count, title and DOI. Secondly,
Python program was used to match records in Altmetric.com dataset (October 2011 to June 2016)
by matching DOI and title. Scientific tweets of these publications were collected, including
geographic coordinates and full text of tweet content. Thirdly, descriptive statistics were used for
analyzing the data and comparison was conducted.
According to Scopus, 183,699 scientific publications of 25 languages were published in June
2015. These publications obtained 451,982 scientific tweets. ① From the perspective of general

* Correspondence should be addressed to YU Houqiang, Email: yuhouq@yeah.net, ORCID: 0000-0002-9241-6630