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News
July 16, 2026
Team Success: Aligning Means with Objectives
In corporations, sports, and academia, people often face challenges they cannot handle alone. In such cases, selecting the right team is crucial. Tatiana Mayskaya, Associate Professor at the HSE Faculty of Economic Sciences and the International College of Economics and Finance, together with colleagues from foreign universities, examined team characteristics and found that less diverse teams are better suited to objectives where a high average performance is important, whereas more diverse teams are preferable when avoiding failure is critical. The paper has been published in Economic Theory.
July 15, 2026
Economists Propose More Effective Approach to Reducing Smoking
Economists at HSE University have examined how smokers respond to changes in cigarette prices. When tobacco prices increase, cigarette consumption does not always decline. In fact, spending on tobacco may even rise: according to the researchers, a 1% decrease in cigarette affordability leads to a 0.28% increase in per capita tobacco expenditure. The findings suggest that to reduce smoking rates, tobacco prices must rise faster than household incomes. The study has been published in Voprosy Statistiki.
July 15, 2026
HSE MIEM Students to Develop Two Satellites from Scratch for Orbital Experiments
The devices, created by student teams, will conduct space research on the properties of promising solar cells, on-board energy storage systems, and serial electronics for student satellites.

 

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State Embeddedness and Field Stability: The Tea Party and Occupy Wall Street's Interorganizational Networks

Sociological Inquiry, USA. 2014.
Lind B. E., Cross B. R.

Despite the wealth of social movements scholarship analyzing media coverage, the fullrange of organizations appearing in the media alongside movements remains underexamined. To analyze this organizational complexity, we draw upon field theory and relate it to concepts fromsocial network analysis. In particular, we focus on the relationship between field stability and interactions with state-embedded actors. This study contrasts two US movements, the Tea Party and Occupy Wall Street, according to their interactions with state-embedded actors. Through the New York Times's API, we collect and produce article co-appearance networks that approximate the population of organizations indexed by the Times. Fromthese networks, we detect organizational fields using community detection algorithms and test field stability using triadic closure propensities and average coreness.We find that subgroups affiliated with the Tea Party had greaterstability than those of Occupy Wall Street and this difference diminishes as the boundaries of a field become more abstract.  

Research target: Sociology (including Demography and Anthropology
Priority areas: sociology
Language: English
Full text
Keywords: сетевой анализобщественные движенияsocial movementsукорененностьSNAembeddedness
Publication based on the results of:
Прикладные сетевые исследования в образовании, социологии и менеджменте (2014)
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