Tracking references with social media tools: organizing what you’ve read or want to read

Krause, Jackie

doi:10.1016/b978-1-84334-681-4.50005-0

Cited by 8 publications

(7 citation statements)

References 4 publications

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“…With the increasing popularity of the social web as well as the development of ever more powerful network technology, more and more scholars are joining online research communities. Taking advantage of the services provided, they often share academic resources, exchange opinions, follow each other's research, keep up with current research trends, and most important, build up their professional networks (Krause, ). Although nonacademic social networking sites (SNSs) such as Facebook are much more popular, and scholars can communicate and collaborate with each other on SNSs, studies have shown that there are problems with and limitations to using those sites to build academic users' professional networks (Gruzd, ).…”

Section: Introductionmentioning

confidence: 99%

User participation in an academic social networking service: A survey of open group users on Mendeley

Jeng

Jiang

2014

Asso for Info Science & Tech

100

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Although there are a number of social networking services that specifically target scholars, little has been published about the actual practices and the usage of these so‐called academic social networking services (ASNSs). To fill this gap, we explore the populations of academics who engage in social activities using an ASNS; as an indicator of further engagement, we also determine their various motivations for joining a group in ASNSs. Using groups and their members in Mendeley as the platform for our case study, we obtained 146 participant responses from our online survey about users' common activities, usage habits, and motivations for joining groups. Our results show that (a) participants did not engage with social‐based features as frequently and actively as they engaged with research‐based features, and (b) users who joined more groups seemed to have a stronger motivation to increase their professional visibility and to contribute the research articles that they had read to the group reading list. Our results generate interesting insights into Mendeley's user populations, their activities, and their motivations relative to the social features of Mendeley. We also argue that further design of ASNSs is needed to take greater account of disciplinary differences in scholarly communication and to establish incentive mechanisms for encouraging user participation.

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Section: Introductionmentioning

confidence: 99%

User participation in an academic social networking service: A survey of open group users on Mendeley

Jeng

Jiang

2014

Asso for Info Science & Tech

100

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“…Krause considered the academic group in library systems as the virtual community. In this community, a group of researchers shared academic resources, exchanged ideas, followed each other's research, kept up with the latest research developments and built up professional networks (Krause, 2012). A system called CYCLADES was the first personalized library service which provided an integrated environment for individual users and groups (Renda and Straccia, 2005).…”

Section: Group Recommendation In Library Systemsmentioning

confidence: 99%

“…Different from the non-academic communities, academic groups are designed specifically for scholars. They refer to the virtual communities in which a group of researchers share academic resources, exchange ideas, follow each other's research, keep up with the latest research developments and build up professional networks (Krause, 2012).…”

Section: Introductionmentioning

confidence: 99%

Collaborative matrix factorization mechanism for group recommendation in big data-based library systems

Liu

Yang

Sun

et al. 2018

LHT

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Purpose Academic groups are designed specifically for researchers. A group recommendation procedure is essential to support scholars’ research-based social activities. However, group recommendation methods are rarely applied in online libraries and they often suffer from scalability problem in big data context. The purpose of this paper is to facilitate academic group activities in big data-based library systems by recommending satisfying articles for academic groups. Design/methodology/approach The authors propose a collaborative matrix factorization (CoMF) mechanism and implement paralleled CoMF under Hadoop framework. Its rationale is collaboratively decomposing researcher-article interaction matrix and group-article interaction matrix. Furthermore, three extended models of CoMF are proposed. Findings Empirical studies on CiteULike data set demonstrate that CoMF and three variants outperform baseline algorithms in terms of accuracy and robustness. The scalability evaluation of paralleled CoMF shows its potential value in scholarly big data environment. Research limitations/implications The proposed methods fill the gap of group-article recommendation in online libraries domain. The proposed methods have enriched the group recommendation methods by considering the interaction effects between groups and members. The proposed methods are the first attempt to implement group recommendation methods in big data contexts. Practical implications The proposed methods can improve group activity effectiveness and information shareability in academic groups, which are beneficial to membership retention and enhance the service quality of online library systems. Furthermore, the proposed methods are applicable to big data contexts and make library system services more efficient. Social implications The proposed methods have potential value to improve scientific collaboration and research innovation. Originality/value The proposed CoMF method is a novel group recommendation method based on the collaboratively decomposition of researcher-article matrix and group-article matrix. The process indirectly reflects the interaction between groups and members, which accords with actual library environments and provides an interpretable recommendation result.

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“…Sosiaalinen media onkin määritelty eri tavoin eri tutkimuksissa ja määritelmä muokkautuu uusien palvelujen myötä (Sugimoto, Work, Larivière, & Haustein, 2017). Sosiaalisen median palvelujen avulla tutkijat voivat jakaa aineistoja, vaihtaa mielipiteitä ja ajatuksia, seurata toistensa tutkimusta, pysyä ajan tasalla tutkimuksen kehityksessä ja rakentaa ammatillisia verkostoja (Krause, 2012).…”

unclassified

Suomalaisten tutkijoiden sosiaalisen median käyttö: sosiaalisen median merkitys työssä, tiedonhankinnassa ja tieteellisen tiedon jakamisessa

Late

Kumpulainen

Talja

et al. 2018

INF

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The use of social media in scholarly communication has grown in recent years, and consequently, scholars’ uses of social media has gained importance as a research topic.The aim of this article is to shed light on the role of social media in scholars’ work. The research presents findings from a survey (N=528) conducted in Finland in late 2016. There exists no prior research on the role and uses social media among Finnish scholars. This research specifically focuses on the perceived role of social media in information seeking and sharing. We also study the differences between disciplines, age groups, and positions. Results show that scholars do not perceive social media as being central for their or information seeking and sharing, and that social media services are not replacing traditional publishing forums. Scholars do appreciate the social media services intended and developed for academic use, and find them as having value for their work than general social media services. However, according to our results, social media services have a marginal role in scholars’ information seeking and scholars infrequently share their readings in social media platforms. Some disciplinary differences existed, but there was no connection between scholars’ age or position and the role of social media. Our study shows that the role of social media in academic work and scholarly communication is still rather small. Further research is needed to find out what are the reasons for scholars lack of interest towards social media.

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Tracking references with social media tools: organizing what you’ve read or want to read

Cited by 8 publications

References 4 publications

User participation in an academic social networking service: A survey of open group users on Mendeley

User participation in an academic social networking service: A survey of open group users on Mendeley

Collaborative matrix factorization mechanism for group recommendation in big data-based library systems

Suomalaisten tutkijoiden sosiaalisen median käyttö: sosiaalisen median merkitys työssä, tiedonhankinnassa ja tieteellisen tiedon jakamisessa

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