Social Phenomena: Mathematical Modeling and Data Analysis

Dear Colleagues,

Social phenomena emerge as a consequence of the interaction between social inhabitants. For a long time, scholars from different backgrounds, especially from social sciences, have been studying several dimensions of social phenomena. However, some fundamental properties have still been outside the reach of researchers, mainly for the lack of large amounts of reliable data. The increasing amount of data that is being gathered in this digital age is progressively opening up the possibility to uncover some social patterns not so far detected, as well as pioneering the possibility for the testing of models of social patterns as a collective effect of interaction among single individuals.

This Special Issue welcomes contributions to the study of social phenomena in their broad spectrum, from simulations to social data analysis. Some potential topics are agent-based models, opinion dynamics, contagion models, culture models, social network analysis, computational social science, digital human analysis, geographical patterns, network science, big data, etc. 

Dr. Yerali Gandica
Guest Editor

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