1,720,954 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Efficient Compression of XML andJSON Event Log Records
No full textThe exponential growth of digital data presents significant storage and transmission challenges. General-purpose compressors often under perform on small input data due to limited context to find and exploit redundancies. This, in turn, prevents the ability to efficiently do individual compression on small inputs like log entries, which is in favour of chunked compression, hindering the ability for random access decompression. Using a design science research methodology, we investigated the characteristics of logs at Ericsson and developed compression strategies for individual XML and JSON log entries that exploit their structural redundancies through shared context. These strategies were benchmarked against commonly used compressors (Gzip, bzip2, LZ4 and Zstandard) using metrics including compression ratio, compression/decompression speed, memory usage and training sensitivity. The results demonstrate that domain-specific compression strategies can significantly improve the compression ratio, but often at the cost of an increase in computation, leading to reduced throughput. Our compression strategies saw compression ratio improvements of 4.8x and 2.8x compared to Gzip, with the latter matching its compression speed. However, results are highly sensitive to training, resulting in decreased compression ratios when context drift occurs. Using a user perception study, we found that industry professionals see potential in adopting a domain-specific compression strategy in certain key areas of their systems. Still, we acknowledged several concerns regarding deployment and infrastructure management, and that a more significant gain would likely be a deciding adoption factor. We conclude that domain-specific compression strategies exploiting structural redundancy and shared context can improve the compression ratio for individual XML and JSON log entries compared to general-purpose ones, offering a viable alternative depending on whether compression ratio or speed is prioritized. Practical applicability hinges on managing context drift and balancing gains for added maintenance complexities. Den snabba ökningen av digital data skapar stora utmaningar för både lagring och överföring av loggar. Generella kompressionsalgoritmer har ofta svårt att hantera små datamängder, eftersom de har begränsade möjligheter att identifiera och utnyttja redundans. Detta hindrar effektiv komprimering av enskilda små datamängder, såsom loggfiler, vilket leder till att komprimering istället sker i större block och försvårar åtkomst till enskilda filer vid dekompression. Genom att använda design science research har vi studerat loggfiler hos Ericsson och utvecklat strategier för att komprimera individuella XML- och JSON-loggfiler genom att utnyttja deras strukturella likheter. Dessa strategier jämfördes med vanliga kompressionsverktyg som Gzip, bzip2, LZ4 och Zstandard, utifrån kompressionsgrad, hastighet vid kompression och dekompression, minnesanvändning och känslighet för träning. Resultaten visar att domänspecifika kompressionsalgoritmer kan förbättra kompressionsgraden avsevärt, men ofta till priset av minskad hastighet. Våra strategier förbättrade kompressionsgraden med 4,8 gånger respektive 2,8 gånger jämfört med Gzip, där den senare även matchade Gzips kompressionshastighet. Dock är dessa strategier mycket känsliga för hur de tränas, vilket kan leda till sämre kompressionsgrad när datamönstret förändras (context drift). Genom en studie fann vi att yrkesverksamma inom branschen ser potential i att implementera en domänspecifik kompressionsalgoritm, men uttryckte också oro för distribution och hantering av infrastrukturen. Vi drar slutsatsen att domänspecifika kompressionsalgoritmer kan förbättra kompressionsgraden för enskilda XML- och JSON-loggfiler jämfört med generella algoritmer, och kan vara ett hållbart alternativ beroende på om kompressionsgrad eller hastighet är prioriterat. Den praktiska användningen beror på hur väl man kan hantera förändringar i datamönster (context drift) och balansera vinster mot ökade underhållskostnader
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Efficient Compression of XML andJSON Event Log Records
No full textThe exponential growth of digital data presents significant storage and transmission challenges. General-purpose compressors often under perform on small input data due to limited context to find and exploit redundancies. This, in turn, prevents the ability to efficiently do individual compression on small inputs like log entries, which is in favour of chunked compression, hindering the ability for random access decompression. Using a design science research methodology, we investigated the characteristics of logs at Ericsson and developed compression strategies for individual XML and JSON log entries that exploit their structural redundancies through shared context. These strategies were benchmarked against commonly used compressors (Gzip, bzip2, LZ4 and Zstandard) using metrics including compression ratio, compression/decompression speed, memory usage and training sensitivity. The results demonstrate that domain-specific compression strategies can significantly improve the compression ratio, but often at the cost of an increase in computation, leading to reduced throughput. Our compression strategies saw compression ratio improvements of 4.8x and 2.8x compared to Gzip, with the latter matching its compression speed. However, results are highly sensitive to training, resulting in decreased compression ratios when context drift occurs. Using a user perception study, we found that industry professionals see potential in adopting a domain-specific compression strategy in certain key areas of their systems. Still, we acknowledged several concerns regarding deployment and infrastructure management, and that a more significant gain would likely be a deciding adoption factor. We conclude that domain-specific compression strategies exploiting structural redundancy and shared context can improve the compression ratio for individual XML and JSON log entries compared to general-purpose ones, offering a viable alternative depending on whether compression ratio or speed is prioritized. Practical applicability hinges on managing context drift and balancing gains for added maintenance complexities. Den snabba ökningen av digital data skapar stora utmaningar för både lagring och överföring av loggar. Generella kompressionsalgoritmer har ofta svårt att hantera små datamängder, eftersom de har begränsade möjligheter att identifiera och utnyttja redundans. Detta hindrar effektiv komprimering av enskilda små datamängder, såsom loggfiler, vilket leder till att komprimering istället sker i större block och försvårar åtkomst till enskilda filer vid dekompression. Genom att använda design science research har vi studerat loggfiler hos Ericsson och utvecklat strategier för att komprimera individuella XML- och JSON-loggfiler genom att utnyttja deras strukturella likheter. Dessa strategier jämfördes med vanliga kompressionsverktyg som Gzip, bzip2, LZ4 och Zstandard, utifrån kompressionsgrad, hastighet vid kompression och dekompression, minnesanvändning och känslighet för träning. Resultaten visar att domänspecifika kompressionsalgoritmer kan förbättra kompressionsgraden avsevärt, men ofta till priset av minskad hastighet. Våra strategier förbättrade kompressionsgraden med 4,8 gånger respektive 2,8 gånger jämfört med Gzip, där den senare även matchade Gzips kompressionshastighet. Dock är dessa strategier mycket känsliga för hur de tränas, vilket kan leda till sämre kompressionsgrad när datamönstret förändras (context drift). Genom en studie fann vi att yrkesverksamma inom branschen ser potential i att implementera en domänspecifik kompressionsalgoritm, men uttryckte också oro för distribution och hantering av infrastrukturen. Vi drar slutsatsen att domänspecifika kompressionsalgoritmer kan förbättra kompressionsgraden för enskilda XML- och JSON-loggfiler jämfört med generella algoritmer, och kan vara ett hållbart alternativ beroende på om kompressionsgrad eller hastighet är prioriterat. Den praktiska användningen beror på hur väl man kan hantera förändringar i datamönster (context drift) och balansera vinster mot ökade underhållskostnader
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
