Purpose -Social websites have become a major medium for social interaction. From Facebook to MySpace to emergent sites like Twitter, social websites are increasing exponentially in user numbers and unique visits every day. How do these websites encourage sociability? What features or design practices enable users to socialize with other users? The purpose of this paper is to explore sociability on the social web and details how different social websites encourage their users to interact. Design/methodology/approach -Four social websites (Facebook, MySpace, LinkedIn and Twitter) were examined from a user study perspective. After thoroughly participating on the websites, a series of observations were recorded from each experience. These experiences were then compared to understand the different approaches of each website. Findings -Social websites use a number of different approaches to encourage sociability amongst their users. Facebook promotes privacy and representing ''real world'' networks in web environment, while MySpace promotes publicity and representing both real world and virtual networks in a web environment. Niche websites like LinkedIn and Twitter focus on more specific aspects of community and technology, respectively. Originality/value -A comparison of different models of sociability does not yet exist. This study focuses specifically on what makes social websites ''social.''

With the rise of social media, many library and information services have begun to incorporate a wide variety of social media and social networking applications into their systems and services. Among the mainstream social networking applications, micro-blogging, in general, and Twitter, in particular, have gained increasing popularity. This paper reports the results of an exploratory study of the application of Twitter in the context of a large public library system. Specifically, this study has sampled, content analysed and categorised a select number of tweets created by a public library system in order to identify and document the ways in which Twitter can be used for various information services and knowledge management practices in public libraries. One of the main outcomes of this study is a tweet categorisation scheme that has a specific focus on the information services offered by public libraries.

User interfaces to information retrieval systems play a major role in assisting users to search, browse and retrieve information relevant to their needs. This paper provides a review of a category of information retrieval interfaces that are enhanced by incorporating standard thesauri as part of their searching and browsing facilities. A brief account of the rationale behind the integration of thesauri as search aids in such interfaces is provided, based on research literature related to information searching behaviour, information retrieval interface evaluation, search term selection and query expansion. Two categories of search interfaces enhanced with thesauri are examined: those associated with research-based programmes and commercial webbased interfaces to bibliographic databases. Six commercial web-based databases are compared in terms of their thesaurus interface features. It is concluded that, although the number of thesaurus-enhanced interfaces is growing, few studies have focused on user interaction with these interfaces or fully explored the ways in which they can assist users in the search process. 50 1 2

The study reported here investigated the query expansion behavior of end-users interacting with a thesaurusenhanced search system on the Web. Two groups, namely academic staff and postgraduate students, were recruited into this study. Data were collected from 90 searches performed by 30 users using the OVID interface to the CAB abstracts database. Data-gathering techniques included questionnaires, screen capturing software, and interviews. The results presented here relate to issues of search-topic and search-term characteristics, number and types of expanded queries, usefulness of thesaurus terms, and behavioral differences between academic staff and postgraduate students in their interaction. The key conclusions drawn were that (a) academic staff chose more narrow and synonymous terms than did postgraduate students, who generally selected broader and related terms; (b) topic complexity affected users' interaction with the thesaurus in that complex topics required more query expansion and search term selection; (c) users' prior topic-search experience appeared to have a significant effect on their selection and evaluation of thesaurus terms; (d) in 50% of the searches where additional terms were suggested from the thesaurus, users stated that they had not been aware of the terms at the beginning of the search; this observation was particularly noticeable in the case of postgraduate students.

Purpose Many higher education institutions are investigating the possibility of developing predictive student success models that use different sources of data available to identify students that might be at risk of failing a course or program. The purpose of this paper is to review the methodological components related to the predictive models that have been developed or currently implemented in learning analytics applications in higher education. Design/methodology/approach Literature review was completed in three stages. First, the authors conducted searches and collected related full-text documents using various search terms and keywords. Second, they developed inclusion and exclusion criteria to identify the most relevant citations for the purpose of the current review. Third, they reviewed each document from the final compiled bibliography and focused on identifying information that was needed to answer the research questions Findings In this review, the authors identify methodological strengths and weaknesses of current predictive learning analytics applications and provide the most up-to-date recommendations on predictive model development, use and evaluation. The review results can inform important future areas of research that could strengthen the development of predictive learning analytics for the purpose of generating valuable feedback to students to help them succeed in higher education. Originality/value This review provides an overview of the methodological considerations for researchers and practitioners who are planning to develop or currently in the process of developing predictive student success models in the context of higher education.