The number of communities detected in the Barabasi-Albert model simulation was similar to that for the largest component of the real network (6.21 卤 0.07 vs. 6, p = 0.096). Conclusions: A co-authorship network analysis revealed a structure of collaboration networks in the application of ...
Co-authorship networks based on these publications were assembled, visualized and analyzed with social network analysis software packages. Network visualization and analysis generated new information, allowing better design and strategic planning of the Program, enabling decision makers to characterize network...
Ognjanovi´c, A. Pejovi´c, and T. Jakˇsi´c Kru¨ger. Exploratory analysis of communities in co-authorship networks: A case study. In ICT Innovations 2014, volume 311 of Advances in Intelligent Systems and Computing, pages 55-64. Springer International Publishing, 2015....
Yang, Z., Jaramillo, F., & Chonko, L. B. (2010). Productivity and coauthorship in JPSSM: A social network analysis. Journal of Personal Selling & Sales Management, 30(1), 47-71.YANG, Z.; JARAMILLO, F.; CHONKO, L. 2009. Productivity and co- authorship in JPSSM: A social ...
Google Scholar is a search engine for scholarly literature which indexes most academic papers, dissertations, and books that are available online. This paper aims to analyze the characteristics of the manually added co-authorship network (MACN), in which
Study of social networks reveal communication patterns which are of interest to researchers. Co-authorship network is one type of a social network. These networks represent the publication work carried out by researchers. Co-authorship networks analysis
The application of social network analysis to the study of coauthorship activity7–12 has proved to be extremely fruitful in understanding coauthorship tie creation, the diffusion of innovation, the academic success and career longevity, the creation of prestige, the increase of visibility, the ...
Our second contribution consists in the analysis of the co-authorship network obtained from a complete dump of the English Wikipedia, to characterize its community on a temporal dimension. The study of the network’s macro- scopic features and the comparison with scientific collabo- ration netw...
thematic networksocial network analysisWe analyze the coauthorship production of the AAEP Annual Meeting since 1964. We use social network analysis for creating coauthorship networks and given that any paper must be tagged with two JEL codes, we use this information for also structuring a thematic ...
Collaboration networks constructed using co-authorship data tend to have a large number of fully connected cliques: co-authors of the same research paper are fully connected. Therefore, a high number of nodes have a maximum local transitivity (Ci = 1), as they only collaborate with members...