ARTÍCULO
TITULO

Allocation of the scientific directions of development of science and technologies center in oil and gas industry based on the co-authorship network

Fedor Krasnov    
Mars Khasanov    

Resumen

Planning of scientific and technological development research organizations should not be divorced from the real situation. Phenomena such as organizational inertia, diversification of research and the hobby of creating IT products can significantly distort any strategies and development plans. However, the feasibility of the plans is an important characteristic of development, significantly reinforcing the motivation for the result. So setting realistic goals is essential.Quantitative tools for assessing the implementation of scientific research may not be enough. The formal paper reporting the research is not able to reflect the passion and engagement of researchers in the work. While, small-scale research such as presentations at scientific conference or a scientific paper in a peer-reviewed periodical journal require significantly more casual attitude on the part of researchers.Analysis of the development of scientific and technological organizations based on publication activity is a common practice. Many studies analyse a corpus of texts of scientific articles and draw conclusions about the development trends. Textual data have a high noise level and even modern methods of analysis such as LDA and Word2Vec give accurate predictions only based on huge volumes of texts that were not always available to small organizations. Namely, a small research organization suffer more from inaccuracies of the planning of scientific activities.The authors of this study propose to take advantage of the analysis of the articles (presentations) based on a bipartite graph of co-authorship to highlight research directions for further evaluation and planning.

 Artículos similares

       
 
Yanbin Li, Ke Sun, Ruyi Men, Fei Wang, Daoxi Li, Yuhang Han and Yanping Qu    
With the continuous growth in the global population, rapid socioeconomic development, and the impacts of factors like climate change, we are facing increasingly severe challenges regarding water scarcity. The scientific and rational allocation of water r... ver más
Revista: Water

 
Guangwei Jia, Sheng Li, Feilong Jie, Yanyan Ge, Na Liu and Fuli Liang    
This study employs the Driving Force?Pressure?State?Response (DPSR) framework to establish an evaluation index system for the water resource carrying capacity (WRCC) in the Cele?Yutian Oasis (China). Utilizing the TOPSIS and obstacle degree models, we an... ver más
Revista: Water

 
Nils Horn, Fabian Gampfer and Rüdiger Buchkremer    
As the amount of scientific information increases steadily, it is crucial to improve fast-reading comprehension. To grasp many scientific articles in a short period, artificial intelligence becomes essential. This paper aims to apply artificial intellige... ver más
Revista: AI

 
Fuad Alattar and Khaled Shaalan    
Comparing two sets of documents to identify new topics is useful in many applications, like discovering trending topics from sets of scientific papers, emerging topic detection in microblogs, and interpreting sentiment variations in Twitter. In this pape... ver más
Revista: AI

 
Jose Aguilar, Camilo Salazar, Henry Velasco, Julian Monsalve-Pulido and Edwin Montoya    
This paper analyses the capabilities of different techniques to build a semantic representation of educational digital resources. Educational digital resources are modeled using the Learning Object Metadata (LOM) standard, and these semantic representati... ver más
Revista: Computation