1,720,959 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Impact of macroeconomic indicators on incremental housing finance in South Africa
Full text linkThesis (PhD (Real Estate))--University of Pretoria, 2022.This research seeks to answer a question that borders on the affordability of housing finance,
relative to the overall direction of the South African economy. Therefore, the study explores insight into the informal housing and spending patterns of low/middle-income groups in South Africa. Accordingly, the macroeconomic data was used to evaluate the incremental housing finance, and build a framework based on the National Housing Finance Corporation (NHFC) model in South Africa as a major contribution to a sub-Saharan African study.
To achieve the overall goal, the study employs a mixed method (qualitative and quantitative data) to assess housing finance affordability and the performance of incremental housing finance in South Africa. Specifically, data for 17 years (2003-2020) from Stat SA, NHFC, Department of Human Settlement, and Rural Housing Loan Fund were used in this analysis. Additionally, stakeholders from NHFC and HIPHousing who are knowledgeable with the workings of incremental housing finance and interface between the home finance providers and the beneficiaries were interviewed.
The study found that incremental housing finance directly addresses a housing affordability gap for low to middle-income earners in South Africa. Furthermore, it is demonstrated to be more resilient in improving access to financing for categories of homeowners who have typically not been able to afford improved housing conditions. The proposed framework captures the current financing model that has recorded over 90% repayment rate from low-or middle-income earners. This further proves that risk classification from the formal mortgage options might have significantly excluded the poor from affordable housing finance.
The study also reports three (3) major components of an ideal incremental financing structure which are (1) institutional financing (2) funding from both private and public entities, and (3) regulation. Consequently, results show that inflation and the lending rate demonstrate significant impacts on incremental housing investment, while unemployment demonstrates the least impact on the incremental housing investment. Additionally, results of the interview with NHFC executives revealed a significant impact of the rate of unemployment; and other related macroeconomic indicators in mitigating risks of default.
Thus, it is recommended that the transition of government from housing provider to enabler should inform the establishment of apex incremental financing bodies like the NHFC funded or subsidized by the state for on-lending to retail intermediaries. Furthermore, the institution is to mitigate risk by adopting regulations and providing oversight to incremental housing finance niche lenders. It is also recommended that incremental financing should be disbursed through reliable building merchants to ensure that funding is used for qualitative homeownership. Furthermore, macroeconomic data should be collected regularly to monitor the performance of incremental housing finance funds as a risk mitigation measure.IREBS Foundation for African Real Estate ResearchUniversity of Pretoria Postgraduate BursaryConstruction EconomicsPhD (Real Estate)Unrestricte
Towards the development of a predictive rent model in Nigeria and South Africa
Full text linkDissertation (MSc)--University of Pretoria, 2019.This research aimed to identify reliable economic data for predictive rent modelling in South Africa and Nigeria, as a contribution towards the growing debate on real estate rental forecasting from the African perspective. The data were obtained from the Iress Expert Database, Stat SA, the Central Bank of Nigeria database (CBN), the National Bureau of Statistics and World Bank. The South African economic data comprised time series for a fifteen-year period between Quarter 1 (Q1), 2003 and Quarter 4 (Q4), 2018. The Nigerian data comprised time series for a ten-year period between Quarter 1 (Q1), 2008 and Quarter 4 (Q4), 2018. The logit model was proposed among others as a macroeconomic modelling approach that captures the future rental directions based on the general economic movements and likely turning points. The model is particularly useful due to its reliance on macroeconomic and indirect/listed real estate data which are more readily available to real estate investment decision-makers. This study identified that coincident indicators and the exchange rate both have positive significant relationships with Johannesburg Stock Exchange (JSE) listed real estate as compelling indicators for the South African market. For the Nigerian listed real estate market indicator, the model also responded to interest rate, the consumer price index and the Treasury Bill Rate (TBR) as reliable indicators. In addition to this, analysis revealed the logit regression framework as an improvement to naïve or ordinary linear rent models in these emerging African real estate markets. The use of macroeconomic modelling proved to be a viable alternative to scarce comparable transaction data which serve as the bedrock of traditional real estate investment appraisal. Thus, a forecasting model for early detection of turning points in commercial real estate rental values in South Africa and Nigeria was developed for use in real estate investment decisions. The study concluded that not all economic indicators lead the listed real estate market. The relationship between the macroeconomy and listed real estate is largely significant, but this could be a positive or negative relationship.African Real Estate Research (AFRER) for IREBS Foundation.Construction EconomicsMScUnrestricte
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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