Analyzing the behavior of a Virtual Social Networking in an online social game based on a Serious Game
DOI:
https://doi.org/10.30973/progmat/2019.11.2/5Keywords:
Social Network Game, Anthropology, Cultural AlgorithmsAbstract
This paper develops a hybrid algorithm that combines evolutionary programming to improve the optimization of a virtual social networking in the Facebook's social network game named “My Tribe”. This prototype takes a collection of individuals and interprets the expectedly of collective studies in different activities. Using a specific model to create and verify the method, led by means of a collection of structure heuristics acquired from the prospect of reaching the ideal tribe, this prototype can operate in two ways: by generating a tribe without restrictions or by a creation of a tribe accordant to one of the three preset architecture of the tribe. Seven construction heuristics are taken into account, through different combinations of two batches of the creation of the initial population, the first generated from an established combination, one popularly used in anthropology and the other using the psychosocial analysis of habitat patterns. The goal is to make sure the relative importance of the initial population size tribe and the construction of a Heuristic based on the general acceptability of the resulting tribe, which is validated with the Cultural Algorithm.
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