1,720,972 research outputs found
One in Four is Enough – Strategies for Selecting Ego Mailboxes for a Group Network View
No full textRecently, researchers have started analyzing e-mail archives of individuals and groups as an approximation of social ties. It can be hard to obtain complete e-mail archives covering all exchanges between a group of individuals. Frequently, only e-mailboxes of a subset of the analyzed actors are available for analysis.
In this project we report on some experiments to find the best ego networks (i.e. mailboxes) to give a “reasonably” complete picture of the full social group network. We also report on the stability of social network metrics with respect to incomplete networks.
We have collected the complete individual mailboxes over a period of 20 weeks of 53 researchers working in the same lab, collaborating on different (research and formative) projects. We have done a series of simulations to identify the best strategies and metrics for analysis of incomplete e-mail networks. Applying snowball sampling and subsequently adding more members of the group, we have compared a globally optimal selection strategy, adding the next-best member with respect to the chosen metric, a locally best strategy, adding the next best member within the already known network, and a random selection strategy. As sampling metrics, we used individual and group betweenness centrality, group density, number of nodes and edges, and others. We have categorized ego networks by roles of individual actors as lab manager, project and subproject managers and project contributors. Lab managers and project managers are in the core, individual contributors are in the periphery of the group network. Results show that good approximations of group network structures are already obtained with 25% to 30% of the mailboxes of the community
Email may not reflect the social network. Preliminary Insights
No full textResearchers have demonstrated that e-mail archives can be used as a good approximation of social ties (Tyler et. al.). This paper demonstrates that ties obtained by mining e-mails archives do not necessarily provide a complete and realistic approximation of interactions by other communication channels. The results of our project indicate that factors such as co-location and the nature of working relationships influence the preference for rich media like chat and face-to-face.
We have collected the e-mailboxes of a sample of 25 students and researchers, representing 50% of the entire population of a university research department. Through an online questionnaire sent out once per week for 7 weeks, we collected quantitative data on the average frequency of communication using different media: face-to-face meetings, chat, and telephone. During the three months period under observation, 64% of our sample members worked in the main Campus building, 20% in a secondary building and 16% off-site.
The comparison of the complete networks suggests that face-to-face and chat are always positively correlated. In particular, people who are co-located, who are peers and who are working on the same project are more likely to use face-to-face and chat.
As suggested by previous social network studies (Haythornthwaite, Wellman), the use of rich media strongly predominated, while telephone was scarcely used, and chat was enthusiastically adopted as a supplementary way to face-to-face interaction
One in Four is Enough – Strategies for Selecting Ego Mailboxes for a Group Network View. Final Results
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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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