1,720,982 research outputs found
Replication Data for: A Computational Analysis of Social Media Scholarship
No full textDramatic increases in large-scale data generated through social media, combined with increased computational power, have enabled the growth of computational approaches to social media research, and social science in general. While many of these approaches require statistical or computational training, they have the great benefit of being inherently transparent—allowing for research that others can reproduce and learn from.
To that end, we wrote a book chapter in the Sage Handbook of Social Media in which we obtain a large-scale dataset of metadata about social media research papers which we analyze using a few commonly-used computational methods. This repository provides the code, data, and documentation designed to tell you exactly how we did that and to walk you through how to reproduce our results and our paper by running the code we wrote.
You can find the chapter here:
Foote, Jeremy D., Aaron Shaw, and Benjamin Mako Hill. 2017. “A Computational Analysis of Social Media Scholarship.” In The SAGE Handbook of Social Media, edited by Jean Burgess, Alice Marwick, and Thomas Poell, 111–34. London, UK: SAGE. [Official Link] [Preprint PDF]
Documentation on how to download and use these data are provided on the following website: https://communitydata.science/social-media-chapter/
A copy of our documentation website can be found in the files README.md and README.html included in this repository.</p
Replication Code and Data for: Motivations to Use Multifunctional Public Goods in Organizations: Using Agent-Based Modeling to Explore Differential Uses of Enterprise Social Media
No full textThis paper includes agent-based models that simulate agents choosing whether and how to interact with an enterprise social media system. This dataset includes both the code used to run the simulations as well as the output of a set of simulations run which are reported in the paper
Replication Data for: Communication networks do not predict success in attempts at peer production
No full textThis replication dataset includes code and data to replicate the paper "Communication networks do not predict success in attempts at peer production".
The data included are of three types:
1. A zipped tar file of compressed XML files of edits made to wikis. This includes the full text of every revision made to the 1430 wikis that were part of our analysis as of early 2010 (different wikis were collected at different times).
Note: Due to the Dataverse's file size limit, this file is in two parts - wiki_com_networks-wiki_dump.tar.xz.partaa and wiki_com_networks-wiki_dump.tar.xz.partab
To combine them run:
cat wiki_com_networks-wiki_dump.tar.xz.part* > wiki_com_networks-wiki_dump.tar.xz
2. A zipped tar file of the wikiq TSV files with metadata about each edit, created using the wikiq parser (https://code.communitydata.science/mediawiki_dump_tools.git). Those wishing to convert the XML files into TSV files can use the wikiq parser.
3. Summary CSV files with data about the communication network and activity levels for each wiki---in other words, the data used for the analyses in the paper. Code for converting the TSV files into these summary CSV files is included.
A more detailed description of how to replicate the figures and analyses from the paper is given in the README file included with the code
Replication Data for: Starting online communities: motivations and goals of wiki founders
No full textAnonymized survey data from our CHI 2017 Note: Starting Online Communities: Motivations and Goals of Wiki Founders</a
Replication Data for: Starting online communities: motivations and goals of wiki founders
No full textAnonymized survey data from our CHI 2017 Note: Starting Online Communities: Motivations and Goals of Wiki Founders</a
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
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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