145 research outputs found
Studying of Node Importance Characteristics in Co-Author Network
No full textДосліджено мережу співавторства в галузях "Інформаційна та обчислювальна техніка", "Кібернетика" в реферативній базі даних "Україніка наукова". Визначено основні параметри мережі та вузлів. Показано, що застосування характеристик центральності вузлів надає змогу визначити авторів наукових робіт, що вносять вагомий внесок у галузь, є керівниками наукових шкіл, підтримують зв'язок між науковими колективами.The co-author network in areas of «Information and computer engineering» and «Cybernetics» of the Ukrainika naukova abstract database is studied in the work. Main characteristics of co-author network and authors are determined. There is shown that co-author network consists of loosely coupled scholar schools and teams. Is shown that applying of nodes centrality characteristics allow to determine authors of scientific works which are heads of scholar schools, make a significant contribution and support communication between scientific teams
author map and author network- FMVZ-UADY (1970-jun2021)
No full textData for VOSviewer regarding author map and author network- publications indexed in scopus from FMVZ-UADY (1970-jun2021
Dynamic Centrality for Directed Co-author Network with Context
No full textPart 4: Data Analysis and Information RetrievalInternational audienceCo-author network is a typical example of dynamic complex network, which evolves and changes over time. One of the ways how to capture and describe the dynamics of the network is determination of Stationarity for detected communities in the network. In the paper, we have proposed the modified Stationarity, which is focused only on co-authors of a given author and not on the whole community to which the author belongs. Therefore, this modified Stationarity is defined for each author in the network and is perceived as dynamic centrality. The relations in homogeneous co-author network are not only set by the number of common publications, but are given by a context to terms used by the author extracted from the article titles. This dynamic centrality calculates with the evaluation by context of directed edges in co-author network. Such modified Stationarity gives us information about stability or dynamics of the author’s neighbourhood that influences her/him, or about the stability and dynamics of the author’s neighbourhood, which the author influences in relation to context
Map of author network related to cancer-related fatigue in ovarian cancer survivors.
No full textMap of author network related to cancer-related fatigue in ovarian cancer survivors.</p
ON THE MOLECULAR STRUCTURE OF THE CO-AUTHOR NETWORK OF ALEXANDRU T. BALABAN
No full textScientometric networks based on the bibliography of Professor Alexandru T. Balaban are analyzed. His position in the topological index research community and the structure of his own co-author network are considered. An analogy is suggested between coauthor networks and molecular structures.</p
All components of the individual co-author network for Chagas disease.
No full text<p>Giant components for Chagas disease, including all other, smaller components of the co-author network. The sizes of the nodes are scaled by betweenness centrality, and the nodes represent individual authors with more than two publications. Links between the nodes (edges) represent a co-authored publication.</p
More Stable Ties or Better Structure? An Examination of the Impact of Co-author Network on Team Knowledge Creation
No full textThis study aims to explore the influence of co-author network on team knowledge creation. Integrating the two traditional perspectives of network relationship and network structure, we examine the direct and interactive effects of tie stability and structural holes on team knowledge creation. Tracking scientific articles published by 111 scholars in the research field of human resource management from the top 8 American universities, we analyze scholars’ scientific co-author networks. The result indicates that tie stability changes the teams’ information processing modes and, when graphed, results in an inverted U-shape relationship between tie stability and team knowledge creation. Moreover, structural holes in co-author network are proved to be harmful to team knowledge sharing and diffusion, thereby impeding team knowledge creation. Also, tie stability and structural hole interactively influence team knowledge creation. When the number of structural hole is low in the co-author network, the graphical representation of the relationship between tie stability and team knowledge creation tends to be a more distinct U-shape
Social Analysis of the SEKE Co-Author Network
No full textAbstract We extract the co-author network over the entire history of the SEKE conference from 1988 through 2014. In this network, authors represent nodes and a pair of authors is connected by an edge if they have co-authored at least one article over the entire duration. We analyze this network using socio-centric and ego-centric network methods to study the extent to which the authors are involved in the SEKE community, and the patterns of collaboration between them. Socio-centric analysis reveals that most authors publish a very small number of articles, and collaborate within tightly knit circles. In fact, only a tiny fraction of the authors consistently return to SEKE to disseminate their research. Ego-centric measures of centrality confirm these findings by revealing that only a small percentage of the authors are structurally dominant, and influence the flow of communication among others. Based on these findings, we believe that strategically SEKE could benefit from cultivating a wider base of influential authors, promoting broader collaborations, and encouraging one-time authors to return
Author Network.
No full text<p>This network map shows the relationships between 527 clusters of authors with publications on synthetic biology in <i>Web of Science</i>. Node size is based on the number of publications for a given author.</p
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