Our now traditional section, "SNA in Russia: Progress and Prospects," was accepted to XXXVII Sunbelt.
International Laboratory for Applied Network Research is organizing a section “SNA in Russia: Progress and Prospects” at the XXXVII SUNBELT Conference, which will be held on May 30 - June 4, 2017, in Beijing (China). At the section we will discuss the reports of the representatives of different disciplines such as sociology, political science, management, etc., devoted to trends in network research in Russia, as well as to comparative network research using Russian and foreign data.
ANR-members took part in the conference “Russian Sociological Community: History, Present, and the Place in International Social Science”
The ANR-Lab members took part in the V All-Russian Congress of Sociology in Yekaterinburg
Leading Research Fellow Galina Gradoselskaya has chaired a section “Analysis of Unstructured Information in Social Networks” at the 7th Annual Conference on Methods in Social Sciences "Sociological research methods" (in memory of A. Kryshtanovsky).
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.
Christoph Stadtfeld and Per Block of ETH Zurich kept a lively pace for four full days interchanging theoretical explorations of SIENA's mathematical foundation and social network dynamics on the one hand, and practical exercises in analyzing real-world networks on the other.
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.