1,742,904 research outputs found
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
Author Co-Citation Analysis (ACA): a powerful tool for representing implicit knowledge of scholar knowledge workers
Full text linkIn the last decade, knowledge has emerged as one of the most important and valuable organizational assets. Gradually this importance caused to emergence of new discipline entitled ―knowledge management‖. However one of the major challenges of knowledge management is conversion implicit or tacit knowledge to explicit knowledge. Thus Making knowledge visible so that it can be better accessed, discussed, valued or generally managed is a long-standing objective in knowledge management. Accordingly in this paper author co- citation analysis (ACA) will be proposed as an efficient technique of knowledge visualization in academia (Scholar knowledge workers)
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
alexanderlerch/ACA-Code: v0.3.2
No full textFull Changelog: https://github.com/alexanderlerch/ACA-Code/compare/v0.3.1...v0.3.
ACA-RES en librairie
No full textNous sommes heureuses de vous annoncer la parution de l'ouvrage Réseaux et académies d'art au Siècle des lumières en province aux éditions de l'Université d'Heidelberg, un partenariat Université de Toulouse Jean Jaurès/Centre allemand d'histoire de l'art. Il est le résultat des sept années de recherche conduites par le programme ACA-RES, donnant lieu à plusieurs journées d'étude et publications, une vaste enquête d'archives et de valorisation numérique, une exposition virtuelle, un colloque ..
Some Comments on the Question Whether Co-occurrence Data Should Be Normalized
Full text linkIn a recent paper in the Journal of the American Society for Information Science and Technology, Leydesdorff and Vaughan assert that raw cocitation data should be analyzed directly, without first applying a normalization like the Pearson correlation. In this report, it is argued that there is nothing wrong with the widely adopted practice of normalizing cocitation data. One of the arguments put forward by Leydesdorff and Vaughan turns out to depend crucially on incorrect multidimensional scaling maps that are due to an error in the PROXSCAL program in SPSS.Multidimensional scaling;Author cocitation analysis;Co-occurrence data;Normalization;PROXSCAL;Pearson correlation
ACA-RES Lauréat de la Carte Blanche de l’INHA 2019 !
No full text2019 sera une année riche pour ACA-RES ! Notre programme de recherche reçoit le soutien privilégié de l’INHA : une subvention financière qui va lui permettre de diversifier ses activités et d’augmenter son équipe de collaborateurs ; une collaboration étroite avec ses équipes renforçant notre lien scientifique avec l’INHA. Un nouveau projet sera au cœur de notre action : une exposition numérique sur le matériel d’apprentissage dont disposaient les académies et les écoles de dessin au XVIIIe ..
A Quantitative Analysis Of The Affordable Care Act's Effects On Small Businesses
No full textThe focus of this paper is to study the Affordable Care Act's effects on small businesses including compliance mandates and the options available. Looking at the Small Business Health Option Programs, I question the option variances based on the entity type, size of the small businesses, and type of exchange based on the businesses state of operation, hypothesizing that the effects would vary based on each factor. Additionally, I examine the tax impacts these small businesses are faced with because of ACA compliance. To answer these questions, I created 12 hypothetical companies each varying based on the entity type, company size, and type of exchange. Using historical data for the microbrewery industry, I determined pre-ACA expenses for small businesses to provide health insurance to employees and compared expenses post-ACA after these hypothetical employers purchased health insurance over the exchanges. My findings lead to the conclusion that purchasing health insurance for employers was less expensive post-ACA than pre-ACA and created a greater tax liability for each entity. My hypothesis proved to be false as the ACA's effects on small businesses did not vary across company size, entity type, or type of exchange. The results of this study are limited to the assumptions made and cannot be applied to all small businesses
Senate Medical Affairs ACA Subcommittee First Update
Full text linkThis Power Point presentation from the Senate Medical Affairs ACA Subcommittee gives statistics on health care in South Carolina and the effect that the ADA might have on health care including costs, taxes and jobs
ACA-induced autophagy is independent of Beclin-1/PI3K complex in A549 and SK-LU-1 cell lines.
No full text(A) Protein expression of Beclin-1 after ACA treatment in A549 and SK-LU-1 cell lines. Data were represented as mean normalized intensity against GAPDH ± SD. *** p p p p p p p p p p p p p p < 0.001 statistically different in comparison to untreated.</p
- …
