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July 24, 2026
'Physics Is What the World Is Literally Built On'
Physicist Nina Dzhanayeva, recipient of a Vladimir Potanin Foundation scholarship, focuses her research on nanophotonics. In this interview for the HSE Young Scientists project, she discusses nanowells, scientific intuition, and how physics can help in making frangipane cream puffs.
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Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.

 

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Is Network Structure Important for Protest Mobilization? Findings from Agent-Based Modeling

Monitoring Obshchestvennogo Mneniya: Ekonomichekie i Sotsial'nye Peremeny. 2021. No. 6. P. 226–253.
Petrov A. P., Akhremenko A.S., Zheglov S.A., Kruchinskaia E.V.

In  recent  decades,  the  fo-cus of civic engagement research has shifted towards studying social environments’ effects on individuals’ decisions on whether to participate in a given activity or not. Online communication has been increasingly influencing the scale of  social  environments  as  well  as  the  features of both online and offline inter-personal communications. Surely, then, individuals’ decisions concerning protest mobilization  are  bound  to  be  affected  by  network  properties.  Using  a  series  of  ABM  models  with  different  network structures, we try to identify the structural factors of networks that can influence individuals who are deciding whether to join a protest. The established research in  this  field  traditionally  points  to  two  structural factors: network topology and homophily. To our knowledge, however, the  literature  has  not  considered  two  above-mentioned  structural  factors  in  combination. In other words, their joint influence  on  protest  mobilization  has  not been tested. To fill this research gap, we combine several network topologies with  enabled/disabled  homophily  and  examine how the combination influences protest turnout and survival. Numerical experiments  show  that  homophily  is  positively  associated  with  the  survival  of  the  protest,  but  negatively  with  its  size for any network topology. Since we infer this conclusion from a theory-based computational model, we also propose how empirical testing can be conducted.

Research target: Political Science, International Relations, and Public Administration Mathematics
Language: English
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Keywords: социальные сетисоциальные медиаpolitical mobilizationHomophilyполитический протестполитическая мобилизацияnetwork topology social mediaагентно-ориентированная модельгомофилияpolitical protestagent-oriented modelтопология сети
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