Abstract
Finding influential nodes or identifying existing patterns in a social network have recently been an active research field. Some practical applications such as advertising industry have benefited from this type of research. Similarly in academia, conferences or journals often consider the impact or influence in a university or research institution has when evaluating a submission. This has led to a growing interest in ways to judge this kind of value which can lead to an eventual ranking. However, there is still not a standard quantification or scoring method for this task. In this thesis we propose a method to evaluate the impact of sentiment-based reputation of research institutions combined with other baseline features to determine their relevance in the review process of several academic conferences.