In this article academic librarians present and analyze a model for community-

-In the context of the provision of library services, bibliomining is defined as the process of applying data mining techniques to extract patterns of behavior from library databases. The application of bibliomining has hitherto focused on the optimal allocation of budgetary resources based on the past circulation of documents. There is no specific application of bibliomining methods to the recognition of user behavior patterns in the available literature. This paper aims to bridge this gap and presents the application of clustering methods on real data from a public library to obtain behavioral patterns of representative users. The results of this work can then be implemented to achieve more efficient management of public libraries. This paper develops a method of bibliomining, including the characteristics of the various stages of the process. Furthermore, the whole process is applied to research conducted in 2012 in the largest public library in the Czech Republic -the Municipal Library of Prague. The results are interpreted and a proposal for continuation of research is also included.

Purpose-Social Media Optimization (SMO) offers guidelines by which libraries can design content for social shareability through social networking services (SNSs). The purpose of this paper is to introduce SMO and discuss its effects and benefits for libraries. Design/methodology/approach-Researchers identified and applied five principles of SMO. Web analytics software provides data on web site traffic and user engagement before and after the application of SMO. Findings-By intentionally applying a program of SMO, the library increased content shareability, increased user engagement, and built community. Research limitations/implications-Increasing use of SNSs may influence the study results, independent of SMO application. Limitations inherent to web analytics software may affect results. Further study could expand analysis beyond web analytics to include comments on SNS posts, SNS shares from library pages, and a qualitative analysis of user behaviors and attitudes regarding library web content and SNSs. Practical implications-This research offers an intentional approach for libraries to optimize their online resources sharing through SNSs. Originality/value-Previous research has examined the role of community building and social connectedness for SNS users, but none have discussed using SMO to encourage user engagement and interactivity through increased SNS traffic into library web pages.

Purpose The purpose of this paper is to examine the extent to which HTTPS encryption and Google Analytics services have been implemented on academic library websites, and discuss the privacy implications of free services that introduce web tracking of users. Design/methodology/approach The home pages of 279 academic libraries were analyzed for the presence of HTTPS, Google Analytics services and privacy-protection features. Findings Results indicate that HTTPS implementation on library websites is not widespread, and many libraries continue to offer non-secured connections without an automatically enforced redirect to a secure connection. Furthermore, a large majority of library websites included in the study have implemented Google Analytics and/or Google Tag Manager, yet only very few connect securely to Google via HTTPS or have implemented Google Analytics IP anonymization. Practical implications Librarians are encouraged to increase awareness of this issue and take concerted and coherent action across five interrelated areas: implementing secure web protocols (HTTPS), user education, privacy policies, informed consent and risk/benefit analyses. Originality/value Third-party tracking of users is prevalent across the web, and yet few studies demonstrate its extent and consequences for academic library websites.

This article presents a mixed-methods study of the methods and maturity of user experience (UX) practice in academic libraries. The authors apply qualitative content analysis and quantitative statistical analysis to a research dataset derived from a survey of UX practitioners. Results reveal the type and extent of UX methods currently in use by practitioners in academic libraries. Themes extracted from the survey responses also reveal a set of factors that influence the development of UX maturity. Analysis and discussion focus on organizational characteristics that influence UX methods and maturity. The authors conclude by offering a library-focused maturity scale with recommended practices for advancing UX maturity in academic libraries.