1,721,126 research outputs found
Wallstreetbets Reddit Data (10/2020 - 04/2022)
No full textData used in the article "The Echo Chamber Effect Resounds on Financial Markets: A Social Media Alert System for Meme Stocks" by Ilaria Gianstefani, Luigi Longo, Massimo Riccaboni.
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4053771
To cite the paper:
@article{gianstefani2022echo,
title={The echo chamber effect resounds on financial markets: A social media alert system for meme stocks},
author={Gianstefani, Ilaria and Longo, Luigi and Riccaboni, Massimo},
journal={arXiv preprint arXiv:2203.13790},
year={2022}
}
The folder common_stats contains raw data for submissions and comments related to keywords.
The folder reddit_raw contains statistics computed with the methodology used in the paper.</p
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
Cluster analysis of weighted bipartite networks: a new copula-based approach
Full text linkIn this work we are interested in identifying clusters of "positional equivalent" actors, i.e. actors who play a similar role in a system. In particular, we analyze weighted bipartite networks that describes the relationships between actors on one side and features or traits on the other, together with the intensity level to which actors show their features. The main contribution of our work is twofold. First, we develop a methodological approach that takes into account the underlying multivariate dependence among groups of actors. The idea is that positions in a network could be defined on the basis of the similar intensity levels that the actors exhibit in expressing some features, instead of just considering relationships that actors hold with each others. Second, we propose a new clustering procedure that exploits the potentiality of copula functions, a mathematical instrument for the modelization of the stochastic dependence structure. Our clustering algorithm can be applied both to binary and real-valued matrices. We validate it with simulations and applications to real-world data
Patent Disclosure and R&D Competition in Pharmaceuticals.
Full text linkThe prominent role played by patents within the pharmaceutical domain is unquestionable. In this paper we take an unusual perspective and focus on a relatively neglected implication of patents: the effect of patent-induced information disclosure (of both successes and failures) on the dynamics of R&D and market competition. The study builds upon the combination of two large datasets, linking the information about patents to firm level data on R&D projects and their outcome. Two case studies in the fields of anti-inflammatory compounds and cancer research complement our analysis. We show the important role played by patent disclosure in shaping firms technological trajectories through the possibility of reciprocal monitoring in a context of parallel research efforts, and suggest the importance of enhancing the diffusion of information concerning failures, not only to avoid wasteful duplication of innovative efforts, but also as a tool for the identification of promising research trajectories. This paper is the result of the "R&D competition" research project carried out jointly with Adrian Towse and Martina Garau of the Office of Health Economics, London, UK. A preliminary draft of the paper has been presented to the DRUID Summer Conference 2006 (Copenhagen), and to the 11th ISS Conference (Sophia-Antipolis).
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
Patent Disclosure and R&D Competition in Pharmaceuticals.
Full text linkThe prominent role played by patents within the pharmaceutical domain is unquestionable. In this paper we take an unusual perspective and focus on a relatively neglected implication of patents: the effect of patent-induced information disclosure (of both successes and failures) on the dynamics of R&D and market competition. The study builds upon the combination of two large datasets, linking the information about patents to firm level data on R&D projects and their outcome. Two case studies in the fields of anti-inflammatory compounds and cancer research complement our analysis. We show the important role played by patent disclosure in shaping firms technological trajectories through the possibility of reciprocal monitoring in a context of parallel research efforts, and suggest the importance of enhancing the diffusion of information concerning failures, not only to avoid wasteful duplication of innovative efforts, but also as a tool for the identification of promising research trajectories. This paper is the result of the "R&D competition" research project carried out jointly with Adrian Towse and Martina Garau of the Office of Health Economics, London, UK. A preliminary draft of the paper has been presented to the DRUID Summer Conference 2006 (Copenhagen), and to the 11th ISS Conference (Sophia-Antipolis).patent disclosure; innovation; r&d competition
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
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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