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News
June 11, 2026
Doctoral Student at HSE University Reveals Hidden Layout of Ancient Parion
İdil Malgil, a researcher at HSE University, conducted a UAV-based LiDAR survey of the ancient Roman city of Parion in present-day Turkey. The high density of the scans allowed the team to detect subtle terrain features concealed beneath the ground and vegetation. The survey revealed traces of entire neighbourhoods, terraced structures, and walls that had remained invisible during routine excavations and could not be identified through aerial photography. The findings have been published in Ancient Civilizations from Scythia to Siberia.
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June 11, 2026
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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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