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“Distant reading” of scientific information: applying topic modeling in behavioral and experimental economics field
Милкова М. А.
Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.
A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...
Added: May 19, 2026
Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.
Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...
Added: April 28, 2026
Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.
We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...
Added: April 20, 2026
Ustyuzhanin V., / Series Econometrics "arxiv". 2026.
This paper proposes Covariate-Balanced Weighted Stacked Difference-in-Differences (CBWSDID), a design-based extension of weighted stacked DID for settings in which untreated trends may be conditionally rather than unconditionally parallel. The estimator separates within-subexperiment design adjustment from across-subexperiment aggregation: matching or weighting improves treated-control comparability within each stacked subexperiment, while the corrective stacked weights of Wing et ...
Added: April 3, 2026
Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.
Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...
Added: April 2, 2026
Vorchik A., / Social Science Research Network. Серия SSRN Working Paper Series "SSRN Working Paper Series". 2026.
This article is devoted to the phenomenon of intrinsic motivation, to understand which two models are proposed. We study how positive/negative intrinsic motivation to work (experienced utility) affects worker's individual labour supply (model I) and the amount of effort they exert (model II). In model I, we use intrinsic motivation to explain the positive/negative slope ...
Added: March 15, 2026
Vorchik A., Мамышев М. А., / Series Social Science Research Network "Social Science Research Network". 2025.
In this paper, we develop a formal mathematical model aimed to explain the Dunning-Kruger effect that beginners systematically overestimate their own competence in various fields of knowledge and activity. We argue that the Dunning-Kruger effect arises from the emotional nature of confidence combined with unknown unknowns that it simply can not take into account due ...
Added: February 11, 2026
Musaev A. U., Vorchik A., / Series Social Science Research Network "Social Science Research Network". 2026.
This paper attempts to model the evolutionary theory of modernization and democratization. The model reflects the key provisions of R. Inglehart and C. Welzel's theory and provides a microfoundation for the adaptation of subjective values to the objective importances of the survival factors and the structure of the labour markets from the perspective of evolutionary ...
Added: February 10, 2026
Antsygina A., Teteryatnikova M., Tremewan J. C. et al., / Series "SSRN Working Paper Series". 2025.
Many competitive environments allow for a third party to be indirectly involved by supporting one or both sides in the conflict. Such support can come from trade partners, colleagues, or allies, who can in turn benefit from a supported party's success. We use theory and an experiment to investigate how support relationships develop endogenously in ...
Added: January 31, 2026
Akhmedova A., / Series "SSRN Working Paper Series". 2026.
The study explores a psychological phenomenon of inaction inertia-avoiding action after missing a more favourable opportunity. Unlike action inertia (e.g.,sunk costs effect), inaction inertia has been less studied, particularly in economic contexts. Considering the reference dependent nature of the phenomenon, I build on the work of Kőszegi and Rabin (2006) to examine how past experiences ...
Added: January 23, 2026
Kuchumova (Paramonova) Y. A., Ozhegova A., Зорина К. С., / Series SSRN "Available at SSRN 6108727". 2026.
Simplified tax regimes with explicit eligibility thresholds are a common tool which reduces tax burden but distorts firms’ behavior, creating local bunching just below the threshold. However, we show that when firms have access to business splitting their responses extend far beyond the local margin. Our model demonstrates that splitting reduces local bunching but amplifies ...
Added: January 21, 2026
Kuchumova (Paramonova) Y. A., Кумачева С. Ш., / Series SSRN "Available at SSRN 5312100". 2025.
In recent years, an emerging body of empirical research has shown that tax audits, in addition to recovering unpaid taxes (direct effect), increase future tax compliance (indirect or dynamic effect). This literature also suggests that updating expectations induced by audit experience plays an important role in explaining this indirect effect. However, exactly how taxpayers form ...
Added: January 21, 2026
Kuchumova (Paramonova) Y. A., / Series SSRN "Available at SSRN 5277500". 2025.
While the emerging empirical literature shows that collateral tax sanctions (CTSs) - such as driver’s license suspensions or passport denials - appear to be effective instruments to enforce tax debt collection, there are still few theoretical arguments to explain why. In this paper, I model enforcement of tax debt collection and provide a new rationale for why it could ...
Added: January 21, 2026
Dobrynskaya V. V., Tomtosov A., Речмедина С., / NRU HSE. Series WP BRP 60/FE/2017 "SERIES: FINANCIAL ECONOMICS". 2025.
We study the application of factor investing in the market for real estate (REITs). The analysis of traditional factor strategies, such as momentum, value, size and profitability, reveals their unstable and atypical behavior in comparison to the equity market, however, there is a strong momentum effect in the factor strategies. We propose a new dynamic ...
Added: January 21, 2026
Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.
Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...
Added: January 15, 2026
Khrylchenko K., Vorontsov K. V., Automation and Remote Control 2022 Vol. 83 No. 12 P. 1908–1922
Added: November 19, 2025
Sikachev A., Veselova A., Управленец 2026 Vol. 17 No. 1 P. 65–83
As small and medium-sized enterprises (SMEs) strive for expansion beyond their domestic borders, the appeal of international markets is undoubtedly attractive. However, there are often numerous obstacles to this journey, which can be complex for companies without experience in international expansion. This article aims to fill the existing gap in the literature by thoroughly analyzing ...
Added: August 21, 2025
Smirnov N., Higher Education 2026 Vol. 91 No. 3 P. 993–1021
Doctoral education has undergone significant transformations over the past two decades, driven by massification, internationalization, and the diversification of training models. These shifts have led to a growing body of research on doctoral education, yet little is known about the overarching thematic and geographical trends shaping this field. This study applies computational natural language processing ...
Added: May 26, 2025
Volkova N., Бордунос А. К., Чикер В. А. et al., Социальная психология и общество 2025 Т. 16 № 1 С. 5–27
Objective. Identify key topics presented in contemporary research on the relationship between social capital and generational differences in organizations, utilizing digital processing approaches on a dataset of scientific publications.
Background. The emergence of new technologies, labor migration, and the involvement of representatives of different generations in labor activities have highlighted the process of continuous socialization of individuals in ...
Added: May 5, 2025
Егоров В. Ю., Philippov I., Akhremenko A. S., Мониторинг общественного мнения: Экономические и социальные перемены 2025 № 1 С. 214–239
The focus of the work is related to the public perception of government practices within the framework of digitalization policy. Electronic practices of interaction with the government have long been widespread among most Russians. This is confirmed by both public opinion polls and Russia’s high positions in the world rankings of e-government development. In this ...
Added: May 1, 2025
Vozhik E., Maslinsky K., Lisiukov R., CEUR Workshop Proceedings 2024 P. 938–949
The article focuses on the systemic effects of censorship that manifest themselves in the content of published materials that successfully passed the censorship filters. We understand censorship as a special kind of collective imagination about the (in)acceptable, inherent in a particular political context and influencing the decision-making logic by different actors. The idea is that ...
Added: April 3, 2025
Gorshkov S., Ilyushin E., Chernysheva A. et al., International Journal of Open Information Technologies 2021 Vol. 9 No. 5 P. 12–17
Topic modeling is one of the most widely used methods in text analysis. It can be used to select topics as well as to find the topics distributed in each document from the corpus. In this article, we present a method for clustering communities in the social network VKontakte (the most popular Russian social network) ...
Added: December 25, 2024
Kolmogorova A., Qiuhua S., Вестник Волгоградского государственного университета. Серия 2: Языкознание 2024 Vol. 23 No. 5 P. 60–71
The article is devoted to studying verbalization specifics of various emotional states in the texts in Russian with the purpose to confirm or refute the hypothesis that texts of different emotional classes reflect the denotative situation not identically, which is reflected in thematic specifics and lexical content. The research material consisted of eight corpus texts ...
Added: November 29, 2024
Sergei Koltcov, Surkov A., Filippov V. et al., PeerJ Computer Science 2024 Vol. 10 P. 41
Topic modeling is a widely used instrument for the analysis of large text collections.
In the last few years, neural topic models and models with word embeddings have
been proposed to increase the quality of topic solutions. However, these models
were not extensively tested in terms of stability and interpretability. Moreover, the
question of selecting the number of topics ...
Added: February 16, 2024