Networked collaboration performed over specific platforms designed for such purposes can provide knowledge about roles, intentions and effects regarding participants, their interaction among themselves and the interaction with the available knowledge objects. This study aims to propose a mechanism for discovering temporal behaviour underlying the raw data collected in log files from e-learning activity in specific platforms. The proposal is based on measuring and, subsequently, estimating time spans through social networks analysis (SNA). The main focus of this work is to match different temporal behaviours, shown during collaborative learning, with formal profiles identified inside a complex network of interactions. The final goal is to define a concrete mechanism to measure the response of participants, from the perspective that knowledge objects have been created by the partners in the same learning group
