1,720,991 research outputs found
Beyond Neighbors: Distance-Generalized Graphlets for Enhanced Graph Characterization
No full textGraphs are widely used to model complex systems across various domains, including social networks and biological systems. A key task in graph analysis is identifying recurring structural patterns, known as graphlets, which capture connectivity among a fixed-size subset of nodes. While graphlets have been extensively applied in tasks such as measuring graph similarity and identifying communities, conventional graphlets focus only on direct connections between nodes. This limitation overlooks potential insights from more distant relationships within the graph structure. In this paper, we introduce (d, s)-graphlets, a generalization of size-s graphlets that incorporates indirect connections between nodes up to distance d. This new formulation provides a more fine-grained and comprehensive understanding of local graph structures. To efficiently count (d, s)-graphlets in a graph, we present EDGE, an exact counting algorithm that employs optimized combinatorial techniques to significantly reduce computational complexity compared to naive enumeration. Our empirical analysis across diverse real-world datasets demonstrates that (d, s)-graphlets provide superior graph characterization, outperforming conventional graphlets in a graph clustering task. Moreover, our case studies show that (d, s)-graphlets uncover non-trivial insights that would remain undiscovered when using conventional graphlets
Impact of delta-doping position on photoluminescence in type-II InAs/GaAsSb quantum dots
Get PDFabstract: We studied the optical properties of InAs/GaAs[subscript 0.83]Sb[subscript 0.17] quantum dots (QDs), with varying silicon delta-doping position (spatial distance, d = 0.5, 1, and 2 nm), using photoluminescence (PL) measurements. Compared with the undoped QDs, the PL peak energies of the ground state (GS) emissions for the doped QDs with d = 0.5 and 2 nm were found to be greatly blueshifted by ~31 meV, which was much larger than that for the doped QDs with d = 1 nm. The radiative recombination rate of the GS emissions for the doped QDs with d = 1 nm was estimated to be slower than that for the other doped QDs at 10 K. The doped QDs with d = 1 nm showed the fastest redshift of the GS peak energy with temperature and lowest thermal activation energy (151 meV) of electrons among the QD samples. Further, the time-resolved PL data revealed that the average carrier lifetime (6.3 ns) in the doped QDs with d = 1 nm was longer even than that in the undoped QDs (5.5 ns) because of the weakened electron-hole wavefunction overlap by the V-shaped potential barrier in the doped QDs.Copyright IOP Publishing. This is the authors' final, peer-reviewed manuscript. Kim, Yeongho, Ban, Keun-Yong, Kuciauskas, Darius, Dippo, Patricia C., & Honsberg, Christiana B. (2015). Impact of delta-doping position on photoluminescence in type-II InAs/GaAsSb quantum dots. SEMICONDUCTOR SCIENCE AND TECHNOLOGY, 30(3), 0-0. http://dx.doi.org/10.1088/0268-1242/30/3/035006. The final version as published can be viewed online at http://dx.doi.org/10.1088/0268-1242/30/3/03500
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
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
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
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