Open AccessQUANTITATIVE AND QUALITATIVE INDICATORS OF SOCIAL NETWORK TRAFFIC ON THE SITE OF THE DIVISION OF SPSTL SB RAS IN 2015–2017
Author(s) -
S. Yu. Komarov
Publication year - 2019
Publication title -
trudy gpntb so ran
Language(s) - English
Resource type - Journals
eISSN - 2712-7915
pISSN - 2618-7515
DOI - 10.20913/2618-7515-2019-1-39-46
Subject(s) - division (mathematics) , qualitative analysis , computer science , analytics , data science , qualitative research , qualitative property , social network analysis , quantitative analysis (chemistry) , world wide web , sociology , social media , social science , mathematics , machine learning , arithmetic , chemistry , chromatography
The author examines quantitative and qualitative indicators of the external traffic from social networks to the website of SPSTL SB RAS Division. Based on the developed methodology for evaluating data from web analytics systems, conclusions about the significance of the considered social networks and the admissibility of promoting the resources of SPSL SB RAS Division into them are made.