Title :
Evolutionary dynamics of revolution: Opinion modeling in society based on graphs and rules
Author :
Farley, Jonathan David ; Markowsky, George
Author_Institution :
Dept. of Appl. Math., Massachusetts Inst. of Technol., Cambridge, MA, USA
Abstract :
Individuals are not electrons. But in some situations, they behave very much alike. When it comes to many social and political questions, individuals´ complex attitudes and beliefs must be boiled down to a simple yea (“spin up”) or nay (“spin down”). Although human societies, like physical materials, are very complex, some of their properties can be determined by understanding the interactions that occur between individuals (“atoms”). In particular, the spread of a particular political opinion throughout a society can be modeled as the macroscopic manifestation of the myriad exchanges occurring at the local level between individuals and their neighbors. This model can in future studies be used to gain a qualitative foothold on the evolution of public opinion in various countries for or against the government.
Keywords :
social sciences; evolutionary dynamics; human societies; opinion modeling; political opinion; political questions; public opinion; social questions; Computational modeling; Educational institutions; Fluctuations; Mathematical model; Presses; Psychology; Turing machines; Ising model; cellular automata; evolutionary dynamics; phase transition; revolution;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on
Conference_Location :
Prague
Print_ISBN :
978-1-4577-1426-9
DOI :
10.1109/IDAACS.2011.6072876