1,806,679 research outputs found
Coauthor prediction for junior researchers
Research collaboration can bring in different perspectives and generate more productive results. However, finding an appropriate collaborator can be difficult due to the lacking of sufficient information. Link prediction is a related technique for collaborator discovery; but its focus has been mostly on the core authors who have relatively more publications. We argue that junior researchers actually need more help in finding collaborators. Thus, in this paper, we focus on coauthor prediction for junior researchers. Most of the previous works on coauthor prediction considered global network feature and local network feature separately, or tried to combine local network feature and content feature. But we found a significant improvement by simply combing local network feature and global network feature. We further developed a regularization based approach to incorporate multiple features simultaneously. Experimental results demonstrated that this approach outperformed the simple linear combination of multiple features. We further showed that content features, which were proved to be useful in link prediction, can be easily integrated into our regularization approach. © 2013 Springer-Verlag
Our collaborators, Instructions for the author, Revue objectives, Life Proyect
Nuestros Colaboradores, Instrucciones para el Autor, Objetivos de la Revista y Proyecto de Vida de la Revista Páginas No.89Our collaborators, Instructions for the author, Revue objectives, Life Proyect of the Revue Páginas No.8
Types of Scientific Collaborators: A Perspective of Author Contribution Network
The purpose of this study is to investigate interaction between collaborators within individual studies by measuring how they made contributions to their studies. Author contribution network is constructed based on the author contribution statements of 140,000 full-text articles in PloS by viewing every collaborator as a node and a shared contribution as an edge. Three types of contributors are identified: general team-players, factotums, and mavericks. The preliminary result suggests that division of labor widely exists in scientific re-search and the latter two types of collaborators are common in small teams.Made available in DSpace on 2018-07-12T15:28:19Z (GMT). No. of bitstreams: 2
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Previous issue date: 201
Our collaborators, Instructions for the author, Revue objectives, Institucional repositories and 40 years of the UCP
Nuestros Colaboradores, Instrucciones para el Autor, Objetivos de la Revista, Repositorios Institucionales y Los 40 años de la UCP de la Revista Páginas No. 98Our collaborators, Instructions for the author, Revue objectives, Institucional repositories and 40 years of the UCP of the Revue Páginas No.9
The Hymn of the UCPR, Our collaborators, Revue objectives and Instructions for the author
El Himno de la Universidad Católica Popular del Risaralda, Nuestros Colaboradores, Objetivos de la Revista y Instrucciones para el Autor de la Revista Páginas No.78The Hymn of the Universidad Católica Popular del Risaralda, Our collaborators, Revue Objectives and Instructions for the author of the Revue Páginas No.7
Our collaborators, Instructions for the author, Revue objectives, Institucional repositories and 40 years of the UCP
Nuestros Colaboradores, Instrucciones para el Autor, Objetivos de la Revista, Repositorios Institucionales y Los 40 años de la UCP de la Revista Páginas No. 98Our collaborators, Instructions for the author, Revue objectives, Institucional repositories and 40 years of the UCP of the Revue Páginas No.9
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
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