Cultural association based on machine learning for team formation

Culture is core to human civilization. It evolved over time. Culture is about human intellectual achievements in social context. It is about how humans work together, perform particular task and overall lifestyle and dealing with other groups of civilization. Thus, it is concerned with establishing ideas. Does culture play key role in success? Does it impact on how two individuals can work together in achieving certain goals? Are some key questions. In this paper, we establish a means to derive cultural association and map it to culturally mediated success. Human interactions with the environment are typically in the form of expressions. Association between culture and behavior produce similar beliefs which lead to common principles and actions, while cultural similarity as a set of common expressions and responses. To measure cultural association among different candidates, we propose the use of a Graphical Association Method (GAM). The behaviors of candidates are captured through series of expressions and represented in the graphical form. Association among corresponding node and core nodes is used for the same. The proposed approach gives promising and interesting results.