Results 281 to 290 of about 7,849,088 (332)

Co-authorship 2.0

Proceedings of the 22nd ACM conference on Hypertext and hypermedia, 2011
The study of collaboration patterns in wikis can help shed light on the process of content creation by online communities. To turn a wiki's revision history into a collaboration network, we propose an algorithm that identifies as authors of a page the users who provided the most of its relevant content, measured in terms of quantity and of acceptance ...
David Laniado, Riccardo Tasso
openaire   +1 more source

Co-authorship network analysis in cardiovascular research utilizing machine learning (2009-2019)

Int. J. Medical Informatics, 2020
BACKGROUND With the recent advances in computational science, machine-learning methods have been increasingly used in medical research. Because such projects usually require both a clinician and a computational data scientist, there is a need for ...
A. Higaki, T. Uetani, S. Ikeda, Osamu Yamaguchi   +3 more
semanticscholar   +1 more source

Twenty Years of Network Science: A Bibliographic and Co-authorship Network Analysis

Lecture Notes in Social Networks, 2020
Two decades ago three pioneering papers turned the attention to complex networks and initiated a new era of research, establishing an interdisciplinary field called network science. Namely, these highly-cited seminal papers were written by Watts&Strogatz,
Roland Molontay, Marcell Nagy
semanticscholar   +1 more source

Trend and efficiency analysis of co-authorship network

Scientometrics, 2011
Although co-authorship in scientific research has a long history the analysis of co-authorship network to explore scientific collaboration among authors is a relatively new research area.
Shahadat Uddin, Liaquat Hossain, Alireza Abbasi   +2 more
exaly   +2 more sources

On the co-authorship network in evolutionary computation

Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020
With increased research achievements in the field of evolutionary computation, accurate identification and analysis of co-authorship characteristics have become more important than before. Therefore, in this study, a co-authorship network was used to analyze the aspects of collaboration in the evolutionary computation field.
Dong-Pil Yu, Yong-Hyuk Kim
openaire   +1 more source

Forest entrepreneurship: A bibliometric analysis and a discussion about the co-authorship networks of an emerging scientific field

, 2020
Forest management has been recognized as a significant challenge for various scientific fields, namely because the difficulties in creating employment and economic dynamics in the forestry sector.
P. Mourão, V. Martinho
semanticscholar   +1 more source

Analysis of SIGMOD's co-authorship graph

ACM SIGMOD Record, 2003
In this paper we investigate the co-authorship graph obtained from all papers published at SIGMOD between 1975 and 2002. We find some interesting facts, for instance, the identity of the authors who, on average, are "closest" to all other authors at a given time. We also show that SIGMOD's co-authorship graph is yet another example of a small world---a
Mario A. Nascimento, Jörg Sander 0001, Jeffrey Pound   +2 more
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Issues in the analysis of co-authorship networks

Quality & Quantity, 2011
Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships.
Domenico De Stefano, GIORDANO, Giuseppe, VITALE, MARIA PROSPERINA   +2 more
openaire   +2 more sources

Toolkits for visualizing co-authorship graph

Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries, 2004
Visualization eases insight into complex systems such as co-authorship networks. We present an initial deployment of an author navigator application for convenient visual examination of JCDL and LANL co--authorship networks.
Xiaoming Liu 0005, Johan Bollen, Michael L. Nelson 0001, Herbert Van de Sompel, Jeremy A. T. Hussell, Richard Luce, Linn Marks   +6 more
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Networks of Co-Authorship

2012
The networks are transorganizational arrangements forming a structure and, in a more abstract and generic manner, are built from the interactions between individuals and organizations. These interactions allow the emergence of network structures more related to personal ties and the types of existing social interactions between the actors.
Antonio José Caulliraux Pithon, Ralfh Varges Ansuattigui, Paulo Enrique Stecklow   +2 more
openaire   +1 more source