• Title/Summary/Keyword: Library Usage Pattern

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A Study on the Development Plan in Usage Pattern Analytics of J Provincial Library (도립도서관 이용 패턴 분석을 통한 발전 방안 연구 - J 도립도서관을 중심으로 -)

  • Chang, Woo-Kwon;Park, Seong-Woo;Jeong, Dae-Keun;Yeo, Jin-Won
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.1
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    • pp.173-200
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    • 2015
  • This study is to seek a development plan in the borrowed book and current condition of operation of J-do provincial library. Based on library use card issuer 30,072 people and the number of lending books 705,447(2012 to 2013) of J-do provincial library, it was to analyzed elemental and comparative research for library development plan and user satisfaction. Method of analysis used SPSS statistics 21. This confirmed provincial library user's library user behavior and usage pattern of data. Based on the results of analytics, it indicated a development plan of J-do provincial library.

Analyzing Library Space Use Patterns in a Public Library Through Smartphone WiFi (스마트폰 무선신호를 이용한 공공도서관 이용자의 공간이용행태 분석)

  • Park, Sungjae
    • Journal of the Korean Society for information Management
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    • v.36 no.1
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    • pp.295-313
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    • 2019
  • The purpose of this study is to analyze library space use patterns through users' smartphone WiFi. This study is applied a method to detect WiFi signal of users' smartphone to analyze the in-library wayfinding of users. The library usage data were collected for four months in a library in Seoul, Korea. The results show that the average 37.9% of library users revisits the library the next month. Half of users stay under 7 minutes in the library. Users mainly visit the library between 2 and 3 o'clock, and few users visit the library after 5 pm on weekends. The floor moving pattern result shows that the co-visit rate between the third and fourth floor is higher than others, in that these two floors are mainly composed of book shelves. These results indicate that the method to detect the WiFi signal for spatial pattern analysis could be more effective than observation which was used in previous research. It, therefore, is expected that this method would be applied in other libraries to analyze and enhance the library space usage.

A Usage Pattern Analysis of the Academic Database Using Social Network Analysis in K University Library (사회 네트워크 분석에 기반한 도서관 학술DB 이용 패턴 연구: K대학도서관 학술DB 이용 사례)

  • Choi, Il-Young;Lee, Yong-Sung;Kim, Jae-Kyeong
    • Journal of the Korean Society for information Management
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    • v.27 no.1
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    • pp.25-40
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    • 2010
  • The purpose of this study is to analyze the usage pattern between each academic database through social network analysis, and to support the academic database for users's needs. For this purpose, we have extracted log data to construct the academic database networks in the proxy server of K university library and have analyzed the usage pattern among each research area and among each social position. Our results indicate that the specialized academic database for the research area has more cohesion than the generalized academic database in the full-time professors' network and the doctoral students' network, and the density, degree centrality and degree centralization of the full-time professors' network and the doctoral students' network are higher than those of the other social position networks.

A Study on Public Libraries' User Behaviors Based upon Circulation Data in Gangseo and Yangcheon Region (대출기록을 통해 본 공공도서관 이용자 연구 - 강서·양천지역을 중심으로 -)

  • Heo, Sun;Chung, Yeon Kyoung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.25 no.4
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    • pp.187-207
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    • 2014
  • Public library user studies are required for better services and circulation records can be used as specific library data to identify common user patterns of the libraries. This study examined 754,198 of circulation data set - number of users, frequencies of circulation, volume of time of circulation and etc. The results of this study indicate the possibility of using circulation data to analyze the usage patterns in public libraries and to provide major types of users, collections, time of circulation, and common library user behaviors for better public library services.

Utilization of Log Data Reflecting User Information-Seeking Behavior in the Digital Library

  • Lee, Seonhee;Lee, Jee Yeon
    • Journal of Information Science Theory and Practice
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    • v.10 no.1
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    • pp.73-88
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    • 2022
  • This exploratory study aims to understand the potential of log data analysis and expand its utilization in user research methods. Transaction log data are records of electronic interactions that have occurred between users and web services, reflecting information-seeking behavior in the context of digital libraries where users interact with the service system during the search for information. Two ways were used to analyze South Korea's National Digital Science Library (NDSL) log data for three days, including 150,000 data: a log pattern analysis, and log context analysis using statistics. First, a pattern-based analysis examined the general paths of usage by logged and unlogged users. The correlation between paths was analyzed through a χ2 analysis. The subsequent log context analysis assessed 30 identified users' data using basic statistics and visualized the individual user information-seeking behavior while accessing NDSL. The visualization shows included 30 diverse paths for 30 cases. Log analysis provided insight into general and individual user information-seeking behavior. The results of log analysis can enhance the understanding of user actions. Therefore, it can be utilized as the basic data to improve the design of services and systems in the digital library to meet users' needs.

A study on the Performance of KTALIS Library IR System by the Usage Pattern and the Response Time (KTALIS 도서 자료 검색 시스템의 이용 기능 분포도 및 응답 시간을 중심으로한 시 스템 성능에 대한 고찰)

  • 김재일;김영헌;이혜옥;허문행
    • Journal of the Korean Society for information Management
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    • v.5 no.2
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    • pp.145-160
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    • 1988
  • 111 this paper, ~vc atialyzed thr, staristical data logged by rlte library itiformatio~~ rrtrieval system n41icli was developed it1 K'I'A as a part of total system. System performance was measured numerically b\. means of tables and graphs reprc.ieritmg the usage patterns, die response times, and tl~e success ratt.5 of each stxiircIii~rg item.

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Analysis of Utilization Status according to Users' Spaces of University Library - Based on the User log data of "J" University - (대학도서관 공간별 특성에 따른 활용도 분석 - J대학교 이용자 로그데이터를 기반으로 -)

  • Park, Tae-Yeon;Son, Eun-Jeong;Oh, Hyo-Jung
    • Journal of Korean Library and Information Science Society
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    • v.51 no.2
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    • pp.245-272
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    • 2020
  • The purpose of this study is to analyze the current status of space use in university library and draw up considerations for enhancing space utilization based on the analysis results. For this purpose, the utilization rate of each space was analyzed by categorizing the user's space of the university library, and secondly, the preferences of the major user groups were analyzed according to the characteristics of the users' space. For empirical analysis, we collected and refined users' space usage data (98,282 people's data 433,769 cases) accumulated for one year for the central library of "J" National University. Then we analyzed the usage pattern according to space and period(monthly, hourly). In addition, preferences for each major group of users (undergraduates, graduate students and graduates) in the library were analyzed through the library visitors' data (2,426,553 cases) over the same period. The results of this study can be used as preliminary research for the composition and arrangement of users' space in future university libraries.

Analysis of Library Space Use Patterns to Determine its Optimum Utilization (도서관 공간 활용의 효율성 제고를 위한 이용패턴분석에 관한 연구)

  • Park, Sung-Jae
    • Journal of the Korean Society for information Management
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    • v.33 no.1
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    • pp.225-245
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    • 2016
  • The purpose of this study is to enhance the efficiency of library space usage through analyzing users' behavior in an academic library. Diary methodology was applied for collecting users' activities in the library. 108 students participated in this study, but 84 students submitted their diaries. Among them, 14 participants were interviewed to identify barriers and their needs in using the library. The findings suggest rearranging IT devices to increase use rate of those devices, making plans for reusing the space where it is rarely used, and improving the accessibility of information through browsing in the bookstack area. Additionally, time analysis of users' activities was used to analyze students' behavior in the library.

A Study on the Space Usages of Academic Libraries (대학도서관의 공간사용 실태에 관한 연구)

  • Ahn, Joon-Suk
    • Journal of the Korean Institute of Educational Facilities
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    • v.21 no.6
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    • pp.25-32
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    • 2014
  • Korean academic libraries are facing serious space shortage problems due to an inability to accommodate for the rapidly increasing number of printed materials. Despite the current situation, Korean academic libraries have largely focused on impractical applications of the new library paradigm, using technology or management programs to improve the quality of research and learning environments of the university. However, such improvements would be fruitless without first resolving the space shortage crisis. In order to make realistic improvements to the quality of academic libraries, this study used questionnaires to employ the opinions of librarians currently practicing at such Korean libraries. Survey questionnaires about types and causes of space shortage problems, library facility expansion plans, expected effects of expansion, frequency of and reasons for furniture relocation, and tight spaces needing improvement were distributed to selected 4-year college librarians through Google Drive. Analysis of survey responses indicated that library space shortage was largely responsible for the hindrance of research and learning environments. Furthermore, it reflected the urgency to secure book storage space.

Big Data Analysis for Public Libraries Utilizing Big Data Platform: A Case Study of Daejeon Hanbat Library (도서관 빅데이터 플랫폼을 활용한 공공도서관 빅데이터 분석 연구: 대전한밭도서관을 중심으로)

  • On, Jeongmee;Park, Sung Hee
    • Journal of the Korean Society for information Management
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    • v.37 no.3
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    • pp.25-50
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    • 2020
  • Since big data platform services for the public library began January 1, 2016, libraries have used big data to improve their work performance. This paper aims to examine the use cases of library big data and attempts to draw improvement plan to improve the effectiveness of library big data. For this purpose, first, we examine big data used while utilizing the library big data platform, the usage pattern of big data and services/policies drawn by big data analysis. Next, the limitations and advantages of the library big data platform are examined by comparing the data analysis of the integrated library management system (ILUS) currently used in public libraries and data analysis through the library big data platform. As a result of case analysis, big data usage patterns were found program planning and execution, collection, collection, and other types, and services/policies were summarized as customizing bookshelf themes for the book curation and reading promotion program, increasing collection utilization, and building a collection based on special topics. and disclosure of loan status data. As a result of the comparative analysis, ILUS is specialized in statistical analysis of library collection unit, and the big data platform enables selective and flexible analysis according to various attributes (age, gender, region, time of loan, etc.) reducing analysis time. Finally, the limitations revealed in case analysis and comparative analysis are summarized and suggestions for improvement are presented.