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2010, we noted that there were 1,448 visits (via 656
different Plurk pages) from Plurk to the NTULIB
webpac system. Plurk also ranked 1st in visits (from
external sites) to the NTULIB’s Featured New
Books Blog, recording 2,024 such visits (Figure 3).
Figure 3: Top 10 referral domains to NTULIB Featured
New Books Blog.
Because of Plurk’s lack of transitive
propagation, we made another experiment to see
how information propagates through Plurk. On the
early morning of 24 December 2009, we made a
friends-only announcement (to only the 644 friends
of NTULIB Plurk) that there was a limited-time only
hidden Christmas greeting hidden in our webpac that
can only be accessed with a password. When
analyzing the logs later, we noted a peak with 2,000
more visits to our webpac during that period. This
was quite surprising exactly because of the lack of
transitive propagation in Plurk. In other words, these
extra visits we received can only be caused by the
word-of-mouth rippling effect of Plurk users.
5 DISCUSSION
In this paper we showed that social network can be
an effective new medium for reaching out to
webized patrons. We demonstrated this point by
conducting experiments using two popular social
networking platforms, Facebook and Plurk. We first
introduced a social bookmarking service to justify
that there are indeed webized patrons in our
university environment. We then showed the
effectiveness of our services first through
unannounced services, and then showed the
differences by officially announcing them eight
months later.
Our analysis shows that there is indeed a
webized population among university librarian
patrons. Even when the social networking services
were not announced, they already attracted a
significant size of users. However, the relatively
small numbers of users that use the webpac search
services also indicate that these patrons use our
services mainly to keep up to date on the various
activities such as exhibitions and new book
announcements that they library provides.
Another important feature is that the services
that we described are technically easy to implement
and require very little additional resources to
maintain. Even the analysis tools and traffic logs are
readily available and free. This is particular useful
since library budgets everywhere are shrinking. (The
necessity of additional human resources as required
in (Milstein 2009) is also why we do not recommend
that approach.) Using traffic logs and statistics from
the Web should also be more accurate in capturing
the user behavior of webized patrons than traditional
surveys since the data are implicitly extracted from
their working environment.
The difference in the ways of propagating
information in Facebook and Plurk is also worth
mentioning. Since Facebook is more transitive in the
propagation of activities of friends, it is easier to
accrue a large number of fans. On the other hand,
having lots of fans does not mean that they are all
interested in library-related activities. In comparison,
the relative lack of transitivity in Plurk could
produce more loyal followers, as indicated through
the analysis of the logs and our last experiment with
the Christmas greetings.
REFERENCES
Breeding, M. 2007, ‘Librarians face online social
networks’, Computers in Libraries, vol. 27, pp. 30-33.
Breeding, M. 2009. ‘Social Networking Strategies for
Professionals’, Computers in Libraries, vol. 29, pp.
29-31.
Chu, M. & Meulemans, Y. N. 2008, ‘The Problems and
Potential of MySpace and Facebook Usage in
Academic Libraries’, Internet Reference Services
Quarterly, vol. 13, pp. 69-85.
Harris, A. & Lessick, S. 2007, ‘Libraries Get Personal:
Facebook Applications, Google Gadgets, and
MySpace Profiles’, Library Hi Tech News, vol. 24, pp.
30-32.
Lai, H.-C. 2009, ‘Exploiting Cloud Computing for Social
Network Analysis - Exemplified in Plurk Network
Analysis’, TAAI, Taiwan.
Milstein, S. 2009, ‘Twitter for Libraries and Librarians’,
Computers in Libraries, vol. 29, pp. 17-18.
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