1,721,097 research outputs found
Quantifying Political Leaning from Tweets, Retweets, and Retweeters
No full textThe widespread use of online social networks (OSNs) to disseminate information and exchange opinions, by the general
public, news media and political actors alike, has enabled new avenues of research in computational political science. In this paper, we
study the problem of quantifying and inferring the political leaning of Twitter users. We formulate political leaning inference as a convex
optimization problem that incorporates two ideas: (a) users are consistent in their actions of tweeting and retweeting about political
issues, and (b) similar users tend to be retweeted by similar audience. Then for evaluation and a numerical study, we apply our
inference technique to 119 million election-related tweets collected in seven months during the 2012 U.S. presidential election
campaign. Our technique achieves 94% accuracy and high rank correlation as compared with manually created labels. By studying the
political leaning of 1,000 frequently retweeted sources, 230,000 ordinary users who retweeted them, and the hashtags used by these
sources, our numerical study sheds light on the political demographics of the Twitter population, and the temporal dynamics of political
polarization as events unfold.Wong, Felix MFW; Tan, Chee Wei; Sen, Soumya; Chiang, Mung. (2016). Quantifying Political Leaning from Tweets, Retweets, and Retweeters. Retrieved from the University Digital Conservancy, 10.1109/TKDE.2016.2553667
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
- …
