1,721,472 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
Information Diffusion on Temporal Networks
No full textAs an important carrier of information diffusion, social media has experienced a huge increase in the number of users and also has a big effect on the way of how information diffuses. For example, Facebook and Youtube have attracted more than 1.6 and 1.3 billion users until 2020, respectively. The use of internet and online social network have largely reduced the cost of information propagation and sharing. Besides users and content-based features, social network properties are critical factors that may affect information diffusion. In this thesis, we focus on the influence of temporal network properties on information spreading. As researchers have proved that similar users tend to spread similar content of information, we further propose how to design network representation learning algorithms to better capture node similarity in a network. The first part of the thesis is mainly about how the local properties of nodes and links would affect information spreading on temporal networks. Chapter 2 studies which links are likely to appear in an information diffusion trajectory. We simulate the information diffusion process by a susceptible-infected (SI) model on various empirical temporal networks. An information diffusion backbone is proposed to characterize the probability of a link to appear in the diffusion trajectory. Due to the high complexity of constructing diffusion backbone, we further propose time-scaled weight to identify which links would appear in the diffusion backbone. Compared to the centrality metrics derived from static networks, time-scaled weight shows better identification performance. The conclusions in this chapter may inspire how to maximize information diffusion on temporal networks by deliberately choosing links to transmit information. Chapter 3 investigates which links should be temporally blocked in order to suppress information diffusion on temporal networks. We rank the links by different blocking strategies based on the link properties on static and temporal networks, including the ones derived from information diffusion backbone. We remove the links with high ranking values based on blocking strategies for a given time period. We show that four link blocking strategies outperform the others in suppressing information diffusion. The results show that the effectiveness of the metrics on suppressing information diffusion largely depends on the network properties. In chapter 4, we study how to identify influential nodes, i.e., nodes serving as the seed can spread information widely, on temporal networks. The information diffusion process is simulated by susceptible-infected-recovered (SIR) model on various empirical temporal networks. We propose a temporal information gathering process (Tig-process), which can iteratively gather neighboring information though temporal path, to identify influential nodes. Compared to the benchmark metrics, Tig-process can better identify influential nodes across different temporal networks with a small cost. The experimental designs and results in these three chapters further inspire us to study the local surrounding properties of nodes and links for other spreading processes as well as other types of networks. In the second part of the thesis, we work on designing network embedding algorithms to embed nodes to a low-dimensional space, which can make similar nodes be close in the embedding space. Chapter 5 designs a degree-biased random walk, i.e., DiaRW, to sample walks from a static network. If the source node of a random walk has higher degree, the walk length tends to be longer. Also, if a random walker walks to a low-degree node, the probability of backtracking the former high-degree node is higher. The node pairs generated from walks are further used as input for a learning model, i.e., Skip-Gram model. We unveil that DiaRW shows better performance compared to baseline embedding algorithms on tasks, e.g., link prediction and node classification. Chapter 6 proposes SI-spreading-based network embedding algorithms. We apply SI model on static and temporal networks to sample trajectories. The node pairs generated from trajectories are also used as input for Skip-Gram model. We show SI-spreading-based network embedding algorithms perform better than random-walk-based network embedding algorithms on missing link prediction task. Both of the two chapters consider node heterogeneity in designing embedding algorithms. The last chapter proposes insight of the thesis based on the research questions and provides the possible future directions that is related to our research.Multimedia Computin
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
Polarization Transfer in the [superscript 4]He(e⃗,e′p⃗)[superscript 3]H Reaction at Q[superscript 2]=0.8 and 1.3 (GeV/c)[superscript 2]
No full textProton recoil polarization was measured in the quasielastic [superscript 4]He(e⃗,e′p⃗)[superscript 3]H reaction at Q [superscript 2]=0.8 and 1.3 (GeV/c)[superscript 2] with unprecedented precision. The polarization-transfer coefficients are found to differ from those of the [superscript 1]H(e⃗,e′p⃗) reaction, contradicting a relativistic distorted-wave approximation and favoring either the inclusion of medium-modified proton form factors predicted by the quark-meson coupling model or a spin-dependent charge-exchange final-state interaction. For the first time, the polarization-transfer ratio is studied as a function of the virtuality of the proton.United States. Dept. of EnergyNational Science Foundation (U.S.
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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