iTutor: aplicação híbrida para medida de aleatoriedade em redes de discussão

Abstract

Networks are structures in which there is a set of elements connected to each other and can be observed in various contexts, as seen in social or material structures designed by humanity. In view of this, society has been using discussion networks with a focus on enhancing the achievement of a concise conclusion about a given topic, discussions that have a randomness metric which evaluates the efficiency of the network interactions, with a focus on obtaining the results of the discussion networks to classify the quality of the discussion. The objective of this course work is the definition of metrics for analyzing the performance of discussion networks and the creation of an application that will allow the recording and visualization of the interactions of these networks. For this, an application was developed that records interactions during a discussion and also a server that processes this data and returns it to the application. The results obtained were an application that manages the flow of groups and discussions, in addition to also generating the randomness index and the interaction graph, duly available in the play store. This course work satisfactorily fulfilled the proposed objectives, creating metrics and satisfactory forms of evaluation discussion networks.