Welcome to the website of the Internatonal laboratory for Applied Network Research!
International laboratory for Applied Network Research was launched in 2014 as a result of a tender of three-years projects. Our general aims are development and testing of new network data analysis methods in different fields (branches of science). As much as network researches are multidisciplinary we involve researchers in mathematics, statistics, education, sociology and management. Laboratory consists of three branches: in Moscow, St.Petersburg and Perm.
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.
Members of the ANR-Lab have organized its own session “SNA in Russia: Progress and Prospects” at the XXXVII SUNBELT CONFERENCE of the INTERNATIONAL NETWORK FOR SOCIAL NETWORK ANALYSIS, which took place in Beijin, China from May 30 till Jine 4.
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.
During the spring 2017, ANR-Lab`s members are going to organize own sections at several international conferences in Russia and abroad. Keep track of the latest conferences updates.
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
International Laboratory for Applied Network Research invites you to join our webinar which will be held February 21 at 6:00 p.m. Moscow time.
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.