Usually researchers search for the most actual problems of
our society and try to solve them. There are well-known
international science resources, which are used for searching
and publication of main scientific results. Arrangement of
publications by their significance on certain topic is very
helpful in such databases. There are numbers of world-wide
rating systems which are used for publications, journals and
scientists ranking. Citing indexes, eigen-factor and others are
widely used for scientific works estimation and all of them are
based on the amount of a publication citing. Unfortunately
there are some papers, that aren.t popular and aren.t cited. The
main point of the popularity is the actuality of the topic in the
world at some time. So, the identification of actual research
topic is very important for any scientific work.
The algorithms, which based on co-word and co-author analysis for detecting actual topics and priorities are proposed. We offer to compare co-words networks of certain team and the main worlds tendencies. The aim of the algorithm is to correct researches in Ukraine for activation of international research and popularity of papers witch is depend of the topics. Using of the algorithm could help scientists to get more authority in the world.
The co-author and co-word networks of research output for physics and astronomy for authors from Ukraine university were built, which shown the possibility for detecting the most popular research topics. Detected key-words are atomic force microscopy, biosensor, carbon, carbon nanotube, conductivity, crystal growth, crystal structure, defects, diffusion, and others.