Percolation Models of Information Dissemination in Social Networks

We consider the issues of developing innovative theoretical approaches to describe the states and dynamics of public mood and opinions in social networks, and further on envision practical application of the models obtained with the help of sociological research to forecast people´s behaviour and management of various communities in society. The paper amply demonstrates the workability of percolation models for such purposes. For example, they can define the threshold values for negative attitudes in society and help to study how society clusters into particular social groups united by people´s opinions and attitudes. The obtained percolation models manifest that the 0.09 to 0.15 share of people having a negative standpoint is critical for arising social upheavals conditions. When society reaches a certain share of people having some attitudes there may appear a situation when opposite attitudes (either negative or positive) can be fully mutually supressed or vice versa can strengthen thus reaching the percolation threshold.