1,721,318 research outputs found
White Helmets Twitter Dataset
No full textA Twitter dataset of English-language tweets referencing the “White Helmets,” collected using the Twitter streaming API between 27 May 2017 and 15 June 2018. This dataset includes 840,576 tweets by accounts that are in the red or blue clusters of the network diagram in Figure 1.
Each row of the dataset (a tweet) includes:
id — the unique tweet id
created_ts — the timestamp of the tweet in UTC
extracted_domain_fixed — the domain linked to from the tweet (if applicable, otherwise None)
youtube_videoid — if the tweet linked to YouTube, the 11-digit unique id of the YouTube video (if applicable, otherwise None)
The full tweet record can be rehydrated by passing the id to the Twitter API, however some tweets may no longer be available (e.g. due to deletion, protection, or suspension of the authoring account).</p
White Helmets YouTube Dataset
No full textA dataset containing basic metadata of 1487 available (on November 22 2018) videos that were embedded within / linked-to from tweets in the White Helmets Twitter Dataset (https://doi.org/10.7910/DVN/OHVXDD)
Each row of the dataset (a YouTube video) includes:
youtube_videoid — the unique YouTube videoed
created_ts — the timestamp when the video was published (UTC)
title — the title of the video
duration — the duration of the video HH:MM:SS
likes — number of likes (as of November 22 2018)
dislikes — number of dislikes (as of November 22 2018)
views — number of views (as of November 22 2018)
Additional metadata can be rehydrated using the youtube_videoid and the YouTube API, however some videos may no longer be available (e.g. due to deletion, protection, or suspension of the authoring account) and the number of likes, dislikes, and views are likely to have changed.</p
Morgue records, volume 10, certificate 451 : Wilson, Tom, 1909-12-14
No full textTom or Vergil Wilson
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
Local marriage markets in Great Britain: how diverse?
No full textEstimates are made of the number of potential marriage partners available for unmarried men and women, by age, in Great Britain in 1991 and how this varies across local districts. The preferences of men and women in relation to partner ages are taken into account in the estimates. Average partner supply declines by age for women and increases with age for men. Marriage markets differ between local areas but the differentiation is not as substantial as in many other aspects of local demography and is a good deal less than the variation that occurs through time. Young women and older men have advantageous marriage markets almost everywhere while young men and older women are at a disadvantage in almost all areas
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
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