Workshop “Analysis of Bibliographic Networks” at the conference «Networks in the Global World» in St. Petersburg: call for participation
Invitation to the workshop “Analysis of Bibliographic Networks” of Vladimir Batagelj and Daria Maltseva at the conference "Networks in the global world", which will take place on July 4 – 6, 2018 in St. Petersburg.
The International Laboratory for Applied Network Research starts a new format of educational programs - short-term courses in various areas of applied statistics and network analysis. Within such intensive courses lasting from 3 to 7 days everyone interested will be able to get acquainted with modern methods of analysis from leading experts in their fields. The first course will be held on November 29 - December 3, 2017.
We are happy to announce the successful opening of our new Master’s program 'Applied Statistics with Social Network Analysis' – from September 1 there are 22 students in our team. On September 15-17, the first joint seminar of ANR-Lab employees and students took place at the NRU HSE educational center in Voronovo.
ANR-Lab`s Summer School on network data clustering with the professors from the University of Ljubljana
On June 19-24, 2017, International Laboratory for Applied Network Research has held the Seventh International Summer School «Theory and Methods of Network Analysis» (TMSA-2017) on methods and applications of network data clustering.
International Laboratory for Applied Network Research invites you to join our online-seminar "Hockey, teams & networks: beyond individual skills" which will be held on April 24 at 7:00 p.m. Moscow time.
Join our second online-seminar on April 3 at 7pm. Alexander Semenov talks about machine learning algorithms performance in predicting game outcomes in Dota 2.
From March 1 to May 27, Senior Researcher of the ANR-Lab Daria Maltseva trains at the Center for Methodology and Informatics of the Faculty of Social Sciences of the University of Ljubljana
It is a fairly common story for families – a runaway teenager leaves a note saying ‘I’m not coming back, and don’t try looking for me’ and turns off their cell phone. In a recent case, however, a sister was able to find her brother by using the knowledge she acquired as a student in HSE’s Applied Mathematics and Information Science programme. Her story shows what social networks can say about its users to someone who knows how to listen.