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.
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.
ANR-Lab's Research Assistant Igor Zakhlebin starts this year studying Technology and Social Behavior in Northwestern University, Chikago, USA
VI International Summer School «Theory and Methods of Longitudinal Social Network Analysis» (TMSA-2016)
From August 1 to 5, ANR-Lab held the summer school "Theory and Methods of Longitudinal Social Network Analysis" in Moscow. The goal of the school was to teach students already familiar with network analysis with the features of longitudinal network analysis, which include: selection and influence models, two-mode networks, model comparison of SAOMs and ERGMs, and multi-group and meta-analysis.
From July 4 to 8, ANR-Lab held the V International Summer School "Theory and Methods of Exponential Random Graph Modeling". The aim of the school was to teach participants already familiar with network analysis, some features of the ERGM method. The topics discussed contributed to a deeper understanding of the formation of the network and its structure by comparing all possible alternative networks.