• Journal of Korean Library and Information Science Society
• /
• v.44 no.4
• /
• pp.399-419
• /
• 2013

This paper conducted the empirical analysis of the behaviors revealed in the eight size distributions of the public libraries in Korea. As a result, the behaviors of complex system appeared in all eight size factors. This means that the sizes of public libraries in Korea were highly polarized. Especially, the zipf's law were found in the size factors such as gross area, number of staffs, volume of books, total budget. And the highly uneven distributions were occurred in the size factors such as membership, number of users, number of borrowers, number of borrowed books. This research outcomes show that a new policy of public libraries is needed to resolve the polarization revealed in the sizes of public libraries in Korea.

• The Korean Journal of Applied Statistics
• /
• v.22 no.3
• /
• pp.553-568
• /
• 2009

Using the information about the frequency of occurrence of numbers in WWW, we can find properties of the array of numbers and validate whether this array satisfies the several laws(Power law, Zipf's law, Benford's law).

• Proceedings of the Korean Society for Information Management Conference
• /
• 1995.08a
• /
• pp.105-108
• /
• 1995

본 연구는 이동도서관에서 집중적으로 많이 이용되는 도서의 특성을 조사하고 이용자의 유형을 조사하였다. 본 연구를 통하여 얻은 결론은 도서 대출 분포는 브랫포드의 분산법칙, 지프의 법칙같은 현상이 존재한다는 것이다. 즉, 대출 횟수의 약 80%가 장서의 약 30%이내에서 오며 도서 대출 경향에서 수확 체감 현상이 나타났다. 그리고, 도서의 내용, 출판 후 경과 년수, 대출 경과 일수, 인구학적 특성이 장서의 이용에 영향을 준다. 즉, 아동 도서, 한국 소설, 외국 소설 순으로 많이 대출되며 출판 후 경과년수가 5-6년 이내의 도서가 핵심 도서이며 출판 후 경과년수가 짧은 도서일수록 대출횟수가 많다. 그러나, 아동 도서, 한국 소설, 외국 소설이 대출 횟수는 많지만 도서 이용가치수명은 기타 도서의 1/2에 불과하다. 대출 도서의 대부분(80%)은 6주이내에 최종 대출되며 이용자는 여자가 30, 40대가, 가정주부가, 고졸이상이 많이 이용한다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2011.06c
• /
• pp.191-194
• /
• 2011

문서를 이루는 단어들의 빈도수가 지수법칙(power law)를 따른다는 지프의 법칩(Zipf's law)이 있다. 이러한 단어분포를 고려하여 문서의 토픽을 찾아내는 기계학습법이 디리쉴레 프로세스(Dirichlet process) 이다. 이를 발전시켜서 데이터의 잠재 요인(latent factor)들을 베이즈 확률모델에 기반한 샘플링 바탕으로 찾는 방법이 인디언 뷔페 과정(Indian buffet process) 이다. 우리는 25가지의 특징(feature)들에 대한 점수(rating)들이 볼드(blood oxygen dependent level) 신호와 함께 주어지는 PBAIC 2007 데이터에 주성분 분석법(principal component analysis)를 적용했다. PBAIC 2007 데이터는 비디오 게임을 수행하며 기능적뇌영상(functional magnetic resonance imaging, fMRI) 촬영을 하여 얻어진 공개데이터이다. 우리의 연구에서는 주성분 분석법을 이용하여 10개의 독립 성분(independent component)들을 찾았다. 그리고 1.75초 마다 촬영된 BOLD 신호와 10개의 고유벡터(eigenvector)들간의 내적을 취하여 가중치(weight)를 구하였다. 성분들의 가중치를 낮은 순서로 정렬함으로써 각 시간마다 주도적으로 영향을 미치는 성분들을 알아낼 수 있었다.

• Journal of the Korean Society for information Management
• /
• v.24 no.4
• /
• pp.255-265
• /
• 2007

In this paper we analyzed regularity of daily patterns of distribution of Queries coming from internet search engine. And then, we proposed a Pareto distribution and Zipf law for identifying the query distribution and applied them to daily queries on the search engine during 2 week. We found that there is some evidence that Pareto and Zipf laws can be applied to evaluate the regularity of daily patterns of distribution of queries in search engine. Those results can be used to provide a better understanding of the social interests and trends using the query distribution patterns.

• Journal of KIISE:Computer Systems and Theory
• /
• v.35 no.4
• /
• pp.166-171
• /
• 2008

We studied the variety and affinity between the successive words in the text document A number of groups were defined by the frequency of a following word in the whole text (corpus). In the previous studies, the Zipf's power law was explained by Chinese restaurant process and hub node was searched after by examining the edge number profile in scale free network. We have observed both a power law and a hub profile at the same time by studying the conditional frequency and degeneracy of a group. A symmetry between the affinity and the variety between words were found during the data analysis. And this phenomenon can be explained within a viewpoint of "exploitation and exploration." We also remark on a small symmetry breaking phenomenon in TIPSTER data.

• Journal of the Korean association of regional geographers
• /
• v.13 no.3
• /
• pp.290-300
• /
• 2007

In this study, web document frequency of city place name is analyzed and it is used as the dataset for rank-size analysis. The search keywords are compared in the context of spatial meaning and the different domain corpus is applied. The acquired search results are applied for the further analysis. Firstly, the rank-size analysis is applied to compare the result between population and document frequency. Secondly, in case of correlation analysis, the significant changes are revealed when the spatial criteria for search keywords are increased. In case of corpus, COM, NET, and ORG shows the higher coefficient values. Lastly, the cluster analysis is applied to classify the list of cities that shows the similarity and difference. These analyses have a significant role in representing the rank-size distribution of city names that are reflected on the web documents in the information society.