scholarly journals Getting Tired of Massive Journal Usage Statistics: A Case Study on Engineering Journal Usage Analysis Using K-Means Clustering

2020 ◽  
Author(s):  
Qianjin Zhang
2020 ◽  
Author(s):  
Qianjin Zhang

It would be challenging for engineering librarians who are responsible for both collection management and public service to review massive usage statistics on a regular basis. In order to tackle this challenge, we initiated a case study of measuring engineering journal usage in an alternative approach. The dataset was extracted from a data analytics company’s journal usage statistics report prepared for the University of Libraries. We decided to reuse data from their report because it would save us time in data consolidation. We segmented a total of 821 journal titles into four clusters using K-Means clustering technique where the first cluster of 38 titles with a high number of publications, citations and downloads; the second cluster of 142 titles with a low number of publications but a moderate number of citations and a high number of downloads; the third cluster of titles with a low number of publications and citations but a moderate number of downloads; the forth cluster of titles with a low number of publications, citations and downloads. In conclusion, our case study of measuring engineering journal usage converted massive journal usage statistics into four clusters of journal titles in a straightforward format. The clusters of journal titles also provided us with a comprehensive view on how engineering journals had been used by both authors and users of our institution in the most recent four years. Last but not the least, this case study showed a possibility of implementing data analytics in academic libraries.


Author(s):  
Jozef Kapusta ◽  
Anna Pilková ◽  
Michal Munk ◽  
Peter Švec

We use data cleaning, integration, reduction and data conversion methods in the pre-processing level of data analysis. Data processing techniques improve the overall quality of the patterns mined. The paper describes using of standard pre-processing methods for preparing data of the commercial bank website in the form of the log file obtained from the web server. Data cleaning, as the simplest step of data pre-processing, is non–trivial as the analysed content is highly specific. We had to deal with the problem of frequent changes of the content and even frequent changes of the structure. Regular changes in the structure make use of the sitemap impossible. We presented approaches how to deal with this problem. We were able to create the sitemap dynamically just based on the content of the log file. In this case study, we also examined just the one part of the website over the standard analysis of an entire website, as we did not have access to all log files for the security reason. As the result, the traditional practices had to be adapted for this special case. Analysing just the small fraction of the website resulted in the short session time of regular visitors. We were not able to use recommended methods to determine the optimal value of session time. Therefore, we proposed new methods based on outliers identification for raising the accuracy of the session length in this paper.


2021 ◽  
Vol 20 (38) ◽  
pp. 73-85
Author(s):  
Eness М. Miyanda Chitumbo ◽  
Pailet Chewe ◽  
Francina N. S. Makondo ◽  
Silumesii Kabilwa

Electronic resources are invaluable tools in research and academics. Their emergence and use have been major issues of discussion in scientific practice and literature. While some institutions have enjoyed using e-resources for some time now, others have recorded low usage.This study has revealed various challenges of EIFL (Electronic Information for Libraries) e-resources usage in ZALICO (Zambian Library Consortium) institutions. Today, ZALICO has access to over 30 databases from reputable publishers, most of which come under open access through EIFL membership. Despite having been with EIFL for more than a decade, ZALICO members still experience the low usage of electronic resources. The real causes of low usage of e-resources at the institutional level are not clear hence the need to establish factors behind this problem and the way to solve it. This picture may be worrying as the consortium continues to spend financial means on e-resources that are not appreciated by users. Other concerns may be on the quality of literature users are using in their academic activities.The main aim of the study was to establish factors behind the low usage of EIFL resources among ZALICO institutions. The study examined these issues as a case study. The questionnaire and usage analysis were used for data collection. The Statistic Package for Social Sciences software and Microsoft Excel were used for analyzing quantitative data, while content analysis was used for qualitative data from the questionnaire open-ended questions. The study reveals various access and usage challenges such as poor Internet connections, inadequate search skills among users, ineffective e-resources promotion strategies resulting in low awareness levels, problems of registration to EIFL resources, and non-proactive librarians.To improve the situation, the research identifies four undertakings: continuous user training, more sensitizations and promotions of e-resources using various methods, improved Internet connections (increased bandwidth, provision of more hot spots at various locations and increased Internet access points), and training of institutional librarians on the registration process as it is deemed to be cumbersome.


2021 ◽  
Author(s):  
Sahaporn Sripramong ◽  
Chutiporn Anutariya ◽  
Marut Buranarach ◽  
Patipat Tumsangthong ◽  
Theerawat Wutthitasarn

Author(s):  
Jyoti ◽  
Abhishek Arya ◽  
P. Arunachalam ◽  
L. Ramesh ◽  
V. Ganesan ◽  
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Keyword(s):  

2014 ◽  
Vol 38 (01) ◽  
pp. 102-129
Author(s):  
ALBERTO MARTÍN ÁLVAREZ ◽  
EUDALD CORTINA ORERO

AbstractUsing interviews with former militants and previously unpublished documents, this article traces the genesis and internal dynamics of the Ejército Revolucionario del Pueblo (People's Revolutionary Army, ERP) in El Salvador during the early years of its existence (1970–6). This period was marked by the inability of the ERP to maintain internal coherence or any consensus on revolutionary strategy, which led to a series of splits and internal fights over control of the organisation. The evidence marshalled in this case study sheds new light on the origins of the armed Salvadorean Left and thus contributes to a wider understanding of the processes of formation and internal dynamics of armed left-wing groups that emerged from the 1960s onwards in Latin America.


2020 ◽  
Vol 43 ◽  
Author(s):  
Michael Lifshitz ◽  
T. M. Luhrmann

Abstract Culture shapes our basic sensory experience of the world. This is particularly striking in the study of religion and psychosis, where we and others have shown that cultural context determines both the structure and content of hallucination-like events. The cultural shaping of hallucinations may provide a rich case-study for linking cultural learning with emerging prediction-based models of perception.


2019 ◽  
Vol 42 ◽  
Author(s):  
Daniel J. Povinelli ◽  
Gabrielle C. Glorioso ◽  
Shannon L. Kuznar ◽  
Mateja Pavlic

Abstract Hoerl and McCormack demonstrate that although animals possess a sophisticated temporal updating system, there is no evidence that they also possess a temporal reasoning system. This important case study is directly related to the broader claim that although animals are manifestly capable of first-order (perceptually-based) relational reasoning, they lack the capacity for higher-order, role-based relational reasoning. We argue this distinction applies to all domains of cognition.


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