Multimodel clustering of social networks in social dampening applying BIG DATA (acquiring knowledge from data)

Abstract

The developed methodology provides a solution to two essential tasks, thereby revealing the gnoseological potential of Big Data technology: social forecasting in the three most significant areas of the information society based on a model which identifies conditions for social resonance; successful implementation of the social dampening procedure based on the use of appropriate management options using multimodal clusterization of social networks based on Big Data technology. The article suggests the tool that helps to increase work efficiency in the sphere of social dampening in the region. The proposed method of regulation may be efficient when it comes to the control of the regional social dampening processes which have variety of forms and broad range of elements and factors, as well as growth dynamics and active transformation of life activities. At the same time using modern products make it possible to evaluate and show changes on a real-time basis which can be useful for local government authorities.