Pan-Pacific Conference XXXIV. Designing New Business Models in Developing Economies

lines, new towns and cities, high-definition CCTV
installation, public pension fund basic pension, free
meal service, and anxiety about food safety. It can
be seen that it is possible to clarify the change of the
monthly topic by comparing with the total petitions,
and it is possible to grasp intuitively from the
context.
4.2 Co-Occurrances Structure Map of Major
Petitions
A co-occurrances structure map was conducted for
easy visualization of what contents were specifically
mentioned about the main complaint
keyword(Motomu et al., 2006). In this paper, the
main keyword "bus route" with the highest TFIDF
value for civil petitions in January 2015 is extracted
as the major petitions keyword. When the number
of petitions simultaneously containing a certain
word B appearing together with the keyword A
("bus route") is counted, and B is defined as the
main co-occurrence of A when it exceeds 30 times.
In this case, to simplify the visualization, the length
of the network is not weighted according to the
proportion of the frequency of co-occurrence. The
Graphviz program was used to construct the cooccurrances
structure map.
5. Conclusion
This paper proposed a methodology of Co-
Occurrences Structure Map by applying corpus
analysis method to summarize contents of vast civil
petitions objectively and easily. By applying these
statistical techniques, systematic and efficient civil
data management can be implemented. By
integrating civil service related data through civil
service response evaluation and information
disclosure system, a comprehensive civil
information system can be developed, It is expected
to contribute to securing responsibility and
legitimacy. In particular, the time series analysis of
the main civil petitions with TFIDF and cooccurrances
structure map support to clarify the
public interest, public awareness, and perception
change. The analysis methodology provides
practical supports such as creating manuals for
responding to petitions (single / persistent, specific
group / comprehensive group, etc.), forecasting civil
demand, and disclosing information on complaint
handling.
ACKNOWLEDGMENTS: This work was
supported by the Ministry of Education of the
Republic of Korea and the National Research
Foundation of Korea (NRF-2015S1A3A2046781)
REFERENCES
Figure 1. Co-occurrances Structure Map of “Bus
Route”
As shown in Figure 1, the words "vehicle",
“citizen”, “apartment”, and ”construct” were
extracted as direct co-occurrances of “bus route”
that are the first co-occurrances. And “speeding”,
"time", “safety”, and “discomport” "time", and
"speed" were assigned to the in-direct cooccurrances
of “bus route” that are the second cooccurrances.
These three words can be interpreted
as a major concern on the bus routes.
It helps to understand the interest structure of each
sub-theme through the words connected with
"vehicle", "citizen", "apartment", "installation" For
example, it can be seen that attention is focused on
specific areas and specific infrastructures such as
"Olympic stadium", "right turn", "lane",
"construction" for "vehicle". In other words,
contents of civil petitions can be easily summarized
and their characteristics can be summarized.
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