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October 30, 2026
‘This Format Turned Each Presentation Into a Collaborative Effort to Assess the Robustness of the Study
On October 16, 2026, HSE ICEF hosted the Eighth International Conference on Applied Economics. Held fully on-site, the conference brought researchers from HSE University, the New Economic School, Wuhan University, and Shandong University together in Moscow. The programme was organised around three overarching themes— ‘Environment, Resources and Policy,’ ‘Migration, Labour, and Communication,’ and ‘Consumption, Behaviour, and Climate—offering an opportunity to see how similar economic mechanisms operate in China, Pakistan, the United States, and Russia.
October 23, 2026
‘I Always Conduct Research on Topics That Genuinely Matter to Me
Anastasiia Deeva studies the socio-economic consequences of excess weight in Russia. In an interview for the Young Scientists of HSE University project, she spoke about why beauty cannot be measured, her desire to write a novel, ‘Dostoevskian’ burnout, and working at the hotel where The Shining was filmed.
October 19, 2026
'Cultural Studies Seeks to Understand What Lies Beneath the Surface of Everyday Things'
Maxim Zhiganov has been exploring different aspects of sound for many years—first in relation to his native Perm and then on a broader, global scale. In this interview for the HSE Young Scientists project, he talks about sound maps, the special issue of the journal Logos, and why it is important to make the familiar less clear and obvious.

 

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Organizations, State Interactions, and Field Stability: A Network Analysis of the Tea Party and Occupy Wall Street Movements

P. 156–169.
Lind B. E., Cross R., Mkrtchyan G.

Despite widespread scholarly attention on social movement media coverage, the full range of organizations appearing in the media with movements remains underexamined. To analyze this organizational complexity, we draw upon field theory, relating it to concepts from social network analysis. We hypothesize that interactions with state­embedded actors increase field stability, yet this effect decreases with the field's level of abstraction. We contrast a pair of US movements, the Tea Party and Occupy Wall Street, according to their interactions with state­embedded actors. Through the New York Times's API, we collect and produce article co­appearance networks that approximate the population of Times’s indexed organizations. We parse fields from these networks using community detection algorithms. Our analyses test stability using triadic closure propensities and average coreness. Our findings show that subgroups affiliated with the Tea Party had greaterstability than those of Occupy Wall Street.

Language: English
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Keywords: social networkssocial movementsorganizationsnews media
Publication based on the results of:
Прикладные сетевые исследования в образовании, социологии и менеджменте (2014)

In book

Supplementary Proceedings of the 5th International Conference on Analysis of Images, Social Networks and Texts (AIST-SUP 2016), Yekaterinburg, Russia, April 7-9, 2016.
Vol. 1710. , Aachen: CEUR Workshop Proceedings, 2016.
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