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Regular version of the site

School «Decision making in network context»

Programme


Monday, September 25, 2017


9.30-10.00    Brief Introduction and Opening/Welcome

10.00-13.00  Session 1

Professor Francis Bloch (Université Paris 1 Panthéon Sorbonne, France)
Farsighted stability with heterogeneous expectations
Authors: Francis Bloch, Anne van den Nouweland 
This paper analyzes farsighted stable sets when agents have heterogeneous expectations over the dominance paths. We consider expectation functions satisfying two properties of path-persistence and consistency. We show that farsighted stable sets with heterogeneous expectations always exist and that any singleton farsighted stable set with common expectations is a farsighted stable set with heterogeneous expectations. We characterize singleton farsighted stable sets with heterogeneous expectations in one-to-one matching models and voting models, and show that the relaxation of the hypothesis of common expectations greatly expands the set of states which can be supported as singleton farsighted stable sets.
 
Professor Fuad Aleskerov (National Research University Higher School of Economics, Moscow, Russia) 
Power in Networks, New Centrality Measures and their Applications to Migration and Foreign Claims
We study a network and power distribution on the verticies taking into account the parameters, group influence, and long distance interactions of the verticies. New centrality measures are proposed and applied to the real-world problems of migration and foreign claims on financial markets.
 
13.00-14.30  Lunch
 
 
 
 
14.30-17.30  Session 2


DrSc Alexander Chkhartishvili (Institute of Control Sciences of the Russian Academy of  Sciences, Moscow, Russia)
Models of Influence in Social Networks
Over the past decade, online social networks have firmly entered our life and have a significant impact on the economic and socio-political life of society. Influential bloggers largely determine the spread of information and the formation of opinions, so the methods of their identification are of interest to both theorists and practitioners. The report gives a brief overview of approaches to determining the influence in social networks and suggests a new approach based on the model of dissemination of actions and taking into account the point of view of the decision-maker.
 
Professor Valentina Kuskova (National Research University Higher School of Economics, Moscow, Russia)
Latest methodological advances in network science
Over the last three years, NRU HSE International Laboratory for Applied Network Research has developed a set of tools to enhance our ability to work with network data. This presentation will provide a brief overview of published and unpublished new developments, including working with large network data, missing network data, and advances in community detection.
 

Tuesday, September 26, 2017


    10.00-13.00   Session 3

Dr. Galina Gradoselskaya (National Research University Higher School of Economics, Moscow, Russia)
Creating an image of a person: patterns of the influence
It is a common knowledge that media of all kinds is effectively used to create and propagate a certain message, with a multitude of tools at its disposal. Prior to the widespread use of the internet, mass communications were mostly limited to governmental agencies, so information propagated to the public was subject to much more scrutiny than it is now, where user-generated content can quickly spread through online channels. Because this content is often subject to propagation through “friends” in online communities, a broader user cannot usually determine the source of an information wave with a certain content, some of which may have a particular agenda. In this study, we present a set of instruments to detect a systematic, agenda-driven information wave, generated online about a particular political figure, which can be applied to any person of interest.

Dr. Marina Sandomirskaia (National Research University Higher School of Economics, Moscow, Russia)  
Who competes with whom in the Internet: equilibrium analysis of price dispersion
Authors:  Marina Sandomirskaya, Nikolay Bazenkov, Maria Kuznetsova
In spite of formal attributes of perfect competition, sales in the Internet demonstrate large price dispersion for the same goods. We put forward the hypothesis that heterogeneity in the firm's choice of direct competitors leads to the multiplicity of equilibrium price profiles including those with large dispersion. We model online market structure as a price competition with differentiated product and apply the Nash-2 equilibrium as a solution concept. We reveal the network structure of online market computing pairwise Granger causalies between price series of the firms. We make the structural estimation of parameters of the model and demonstrate that observed real prices satisfy Nash-2 equilibrium conditions.
 
13.00-14.30  Lunch

14.30-16.00 Session 4

Mr. Sergey Shvydun (National Research University Higher School of Economics, Moscow, Russia)
Influence Estimation in Networks of Citations, Inter-state Conflicts and Food Security
We consider influence estimation in networks. Based on the intuition that a node becomes affected if its individual threshold is exceeded, we present several models how to measure the influence. The first model takes into account all possible channels of influence while the second model analyzes possible chain reactions in a netwotk. The models are applied to networks of citations, inter-state conflicts and food security. A comparison with other classical measures is also performed.

16.00         Closing Remarks