Skype

STACC began a fruitful cooperation with Skype in 2009 when there were already millions of active user in the network. At this point it was one of the most unique social networks by the size of its data system and our aim for scientific purposes was to analyse the connections among users at the global scale.

During the project we compared the social network of Skype with other similar networks like Facebook. We observed the dynamics of users’ behaviour, like how users add their friends in time and identified the anomalies of social network (it was studied whether the indicators of social network help to identify fraud accounts). Further, we identified the communities or groups of users closely linked together, estimated users’ migration and analysed the usage of different Skype products.

As a results of the project, methods were developed to calculate the shortest path of giant graphs, which belong to the fastest and most memory saving methods. Three USA patents have been filed to protect the developed methods. Additionally, ten scientific articles have been published and research defended.

VAATA LISAKS:

Plumbr

Based on the results of STACC research project, Plumbr developed a unique algorithm for JAVA applications to automatically detect performance problems.

Demograft

STACC helped to create Demograft platform that enables to gather and analyse data-intensive passive positioning events dealt by the mobile operators’ systems.

TEXTA

STACC created a flexible language technological solution that enables to conduct explorative analysis of the big data in Estonian language.

Anonymiser

STACC created an anonymisation tool that enables to anonymise various documents.