420 research outputs found
Sharing economy: exploring social media and bibliometric evidence
The current structural changes in the world economy have led to the emergence and rapid
proliferation of a new economic model whose individuals share assets owned by others.
Thus was born the concept of Sharing Economy. This concept has been applied in several
sectors with success as it is the case of the transport sector and the real estate sector.
However, the Sharing Economy has become a complex phenomenon with several
ramifications in different aspects, two of these same slopes are: academic and social. This
thesis will focus on a big-time analysis of both strands. On the academic side, supporting
a bibliometrics analysis will try to understand what the repercussions of this phenomenon
at the level of academic publications, analyzing number of articles per year, authors,
publications, terms and key articles. On the social side, relieving Crimson Hexagon's
ForSight analysis software will analyze, number of tweets per year, authors and important
events on the social network Twitter.
This analysis has three main aims: firstly, to understand the phenomenon of Economy
Sharing in the two aspects studied, secondly, to perceive the differences existing in the in
the two strands studied and finally, using altmetrics discovering what is the difference
between social relevant articles and the academic relevant articles of Sharing Economy.As atuais alterações estruturais na economia mundial levaram ao aparecimento e rápida
proliferação de um novo modelo económico cujos indivíduos partilham ativos detidos por
outros. Assim nasceu o conceito de Sharing Economy. Este conceito foi aplicado em
diversos setores com sucesso como é o caso do setor dos transportes e do setor
imobiliário.
Contudo, a Sharing Economy tornou-se um fenómeno complexo com diversas
ramificações em diferentes vertentes, duas dessas mesmas vertentes são: a académica e a
social. Esta tese centrar-se-á numa análise de big data de ambas as vertentes. Na vertente
académica, suportando de uma análise de bibliometria irá tentar perceber qual as
repercussões deste fenómeno ao nível de publicações académicas, analisando número de
artigos por ano, autores publicações, expressões e artigos chave. Na vertente social,
socorrendo software de análise ForSight da Crimson Hexagon irá se preceder uma análise
temporal do número de tweets por ano, autores e eventos importantes.
Esta análise tem três intuitos principais: em primeiro lugar compreender o fenómeno do
Sharing Economy nas duas vertentes estudadas, em segundo lugar, perceber as diferenças
existentes nas duas vertentes estudadas e, por fim, e usando altmetrics, descobrir as
diferenças entre artigos socialmente relevantes e academicamente relevantes sobre
Sharing Economy
Author disambiguation using multi-aspect similarity indicators
Key to accurate bibliometric analyses is the ability to correctly link individuals to their corpus of work, with an optimal balance between precision and recall. We have developed an algorithm that does this disambiguation task with a very high recall and precision. The method addresses the issues of discarded records due to null data fields and their resultant effect on recall, precision and F-measure results. We have implemented a dynamic approach to similarity calculations based on all available data fields. We have also included differences in author contribution and age difference between publications, both of which have meaningful effects on overall similarity measurements, resulting in significantly higher recall and precision of returned records. The results are presented from a test dataset of heterogeneous catalysis publications. Results demonstrate significantly high average F-measure scores and substantial improvements on previous and stand-alone techniques
Scatter of Journals and Literature Obsolescence Reflected in Document Delivery Requests
In this paper we investigate the scattering of journals and literature obsolescence reflected in more than 137,000 document delivery requests submitted to a national document delivery service. W e first summarize the major findings of the study with regards to the performance of the service.We then identify the “core” journals from which article requests were satisfied and address the following research questions: (a) Does the distribution of core) journals conform to the Bradford’s Law of Scattering? (b) Is there a relationship between usage of journals and impact factors, journals with high impact factors being used more often than the rest? (c) Is there a relationship between usage of journals and total citation counts, journals with high total citation counts being used more often than the rest?(d) What is the median age of use (half-life) of requested articles in general? (e) Do requested articles that appear in core journals get obsolete more slowly? (f) Is there a relationship between obsolescence and journal impact factors, journals with high impact factors being obsolete more slowly? (g) Is there a relationship between obsolescence and total citation counts, journals with high total citation counts being obsolete more slowly? Based on the analysis of findings, we found that the distribution of highly and moderately used journal titles conform to Bradford’s Law.The median age of use was 8 years for all requested articles. Ninety percent of the articles requested were 21 years of age or younger.Articles that appeared in 168 core journal titles seem to get obsolete slightly more slowly than those of all titles.W e observed no statistically significant correlations between the frequency of journal use and ISI journal impact factors, and between the frequency of journal use and ISI-Institute for Scientific Information, Philadelphia, PA) cited half-lives for the most heavily used 168 core journal titles.There was a weak correlation between usage of journals and ISI-reported total citation counts.No statistically significant relationship was found between median age of use and journal impact factors and between median age of use and total citation counts.There was a weak negative correlation between ISI journal impact factors and cited half-lives of 168 core journals, and a weak correlation between ISI citation halflives and use half-lives of core journals.No correlation was found between cited half-lives of 168 core journals and their corresponding total citation counts as reported by ISI.Findings of the current study are discussed along with those of other studies
Journal Productivity in Fishery Science an informetric analysis
Knowledge is a human resource which has the ability to
consolidate the valuable results of human thinking and
civilization through different times. It is the totality of
understanding of nature and its features for improved
quality of life of human society. Because of this, knowledge
has been increasing in volume, dimension and directions. The
term ‘information’ and 'knowledge' are often used as if they
are interchangeable. Information is ‘potential knowledge‘
which is converted into knowledge by the integration of
memory of human beings. In modern times there is a confusion
on knowledge usage. Therefore an understanding of the
concept ‘knowledge’ is needed for formulation of strategies
in information science
Recommended from our members
Information Overload: An Overview
For almost as long as there has been recorded information, there has been a perception that humanity has been overloaded by it. Concerns about 'too much to read' have been expressed for many centuries, and made more urgent since the arrival of ubiquitous digital information in the late twentieth century. The historical perspective is a necessary corrective to the often, and wrongly, held view that it is associated solely with the modern digital information environment, and with social media in particular. However, as society fully experiences Floridi's Fourth Revolution, and moves into hyper-history (with society dependent on, and defined by, information and communication technologies) and the infosphere (a information environment distinguished by a seamless blend of online and offline information actvity), individuals and societies are dependent on, and formed by, information in an unprecedented way, information overload needs to be taken more seriously than ever. Overload has been claimed to be both the major issue of our time, and a complete non-issue. It has been cited as an important factor in, inter alia, science, medicine, education, politics, governance, business and marketing, planning for smart cities, access to news, personal data tracking, home life, use of social media, and online shopping, and has even influenced literature The information overload phenomenon has been known by many different names, including: information overabundance, infobesity, infoglut, data smog, information pollution, information fatigue, social media fatigue, social media overload, information anxiety, library anxiety, infostress, infoxication, reading overload, communication overload, cognitive overload, information violence, and information assault. There is no single generally accepted definition, but it can best be understood as that situation which arises when there is so much relevant and potentially useful information available that it becomes a hindrance rather than a help. Its essential nature has not changed with changing technology, though its causes and proposed solutions have changed much. The best ways of avoiding overload, individually and socially, appear to lie in a variety of coping strategies, such as filtering, withdrawing, queuing, and 'satisficing'. Better design of information systems, effective personal information management, and the promotion of digital and media literacies, also have a part to play. Overload may perhaps best be overcome by seeking a mindful balance in consuming information, and in finding understanding
Open Data, Grey Data, and Stewardship: Universities at the Privacy Frontier
As universities recognize the inherent value in the data they collect and
hold, they encounter unforeseen challenges in stewarding those data in ways
that balance accountability, transparency, and protection of privacy, academic
freedom, and intellectual property. Two parallel developments in academic data
collection are converging: (1) open access requirements, whereby researchers
must provide access to their data as a condition of obtaining grant funding or
publishing results in journals; and (2) the vast accumulation of 'grey data'
about individuals in their daily activities of research, teaching, learning,
services, and administration. The boundaries between research and grey data are
blurring, making it more difficult to assess the risks and responsibilities
associated with any data collection. Many sets of data, both research and grey,
fall outside privacy regulations such as HIPAA, FERPA, and PII. Universities
are exploiting these data for research, learning analytics, faculty evaluation,
strategic decisions, and other sensitive matters. Commercial entities are
besieging universities with requests for access to data or for partnerships to
mine them. The privacy frontier facing research universities spans open access
practices, uses and misuses of data, public records requests, cyber risk, and
curating data for privacy protection. This paper explores the competing values
inherent in data stewardship and makes recommendations for practice, drawing on
the pioneering work of the University of California in privacy and information
security, data governance, and cyber risk.Comment: Final published version, Sept 30, 201
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