?
Application of Network Analysis for FMCG Distribution Channels
P. 215–228.
The paper presents the approach for multi-dimensional analysis of marketing tactics of the companies employing network tools. The research suggests onmi-channel distribution tactic of a company as a node in eight-dimensional space. Dimensions for node location are defined by frequency of usage of eight communication channels (friends, acquaintances, telephone, home presentations, printed advertisement, internet, e-mail, door-to-door). The comparison is grounded on measuring pairwise distance between nodes in eight-dimensional space. Pairwise distance measured by Euclidian norm is used as a weight of edge between companies. The smaller the Euclidean distance, the higher is similarity. Further we employ network representation of multidimensional statistics to analyze performance and companies’ characteristic, such as product category, market share, education level and average age of distributors. Empirical implication is approved on the sample from 5694 distributors from sixteen (16) fast moving consumer goods (FMCG) distributing companies from direct selling industry.
Publication based on the results of:
In book
Vol. 197. , Springer, 2017.
Tyuryakova-Matveeva D., Цифровые гуманитарные исследования 2026 № 1 С. 4–26
The article explores cultural references in the works of Andrei Voznesensky by analyzing the personalities he mentions. A total of 1,678 works were processed, including poetry, prose, and early unpublished poems. NER methods based on Natasha, spaCy, and LLM Grok tools made it possible to study the frequency of mentions of famous people and their ...
Added: May 31, 2026
Tekic A., Nguen C. M., Business Horizons 2026 Article In Press, Journal Pre-proof
Fast-moving consumer goods (FMCG) firms face intense pressure to internationalize, yet the traditional playbook—lengthy R&D cycles, costly market research, and standardized campaigns—often struggles to deliver local relevance at speed. This article argues that crowdsourcing—digitally mediated, large-scale consumer participation—can complement established internationalization tools by mobilizing local knowledge and community endorsement to mitigate key aspects of the ...
Added: May 19, 2026
Aleskerov F. T., Khutorskaya O., Stepochkina A. et al., Springer, 2026.
The book contains new models of bibliometric analysis based on centrality measures in network analysis, pattern analysis and stability analysis. A distinctive feature of these centrality measures is that they account for the parameters of vertices and group influence of vertices to a vertex. This reveals specific groups of publications, authors, terms, journals and affiliations ...
Added: May 15, 2026
Pakhomova A., Вестник Московского университета. Серия 9: Филология 2026 № 1 С. 162–177
Beginning in the mid-1920s Aleksandr Vvedensky, Daniil Kharms,
and Konstantin Vaginov became acquainted with the circle of the poet, writer, and
playwright Mikhail Kuzmin, and by the close of this decade, they became regular
visitors to his residence. The interactions between Kuzmin and the Oberiuts has
been sufficiently developed; however, numerous studies have shifted the focus to the
pragmatics of ...
Added: April 1, 2026
Barkhatova L., В кн.: Человек в информационном обществе: сборник материалов третьей международной научно-практической конференции, посвящённой 80-летию Победы в Великой Отечественной войне, 23–26 апреля 2025 года, г. Самара.: Самара: Самарский национальный исследовательский университет имени академика С.П. Королева, 2025. С. 94–98.
The analytical possibilities of using semantic network analysis in qualitative research are considered. A scheme for constructing a semantic map and its integration with the results of the qualitative stage is proposed. It is shown that the implementation of semantic networks for analyzing qualitative data enables validation of conclusions. ...
Added: January 25, 2026
Андриянов Д. А., Брагина А. Б., Kechik U. et al., Полития: Анализ. Хроника. Прогноз 2025 Т. 118 № 3 С. 80–107
It has long been generally accepted in Political Science that distributed elite networks, rather than institutions, are crucial to the functioning of the Russian political system. One of the important factors in the formation of such networks is ethnicity. Of particular interest is the ethnic dynamics in those regions, where there is no dominant ethnic ...
Added: September 25, 2025
Andronova E., Kapuza A., Психологические исследования: электронный научный журнал 2025 Т. 18 № 102 Статья 3
This study examines concepts as systemic elements within a conceptual structure, drawing on the theoretical framework of L.S. Vygotsky’s cultural-historical psychology. A key characteristic of concepts is their level of abstraction, which reflects their degree of generalization within a system. However, existing classification methods lack a unified approach, complicating empirical research. The current study aimed ...
Added: September 19, 2025
Глумов Ф. В., Maltsev A., Terra Politica 2025 № 1 С. 167–186
The present study is devoted to the phenomenon of gerrymandering on the example of US Congressional elections. The boundaries of US Congressional electoral districts were used for the analysis. The division of states into districts was based on census data from 2000 to 2020. Data on small administrative units (counties) similarly relied on census data. ...
Added: August 6, 2025
Loseva A., Moroz A., Shmidt E. et al., International Journal of Communication 2024 Vol. 18 P. 1–26
In light of the “gardening” of the public sphere in autocracies, the question of how power is distributed in the media field calls for empirical investigation. We use computational methods of network analysis, topic modeling, and semantic analysis to test if the Russian media landscape is organized around the three “publics” as suggested by earlier ...
Added: July 7, 2025
Spinazzola M., Scuotto V., Pironti M. et al., Small Business Economics 2025 Vol. 65 P. 1517–1534
Entrepreneurial ecosystems (EEs) are regarded as ideal breeding ground for knowledge-intensive entrepreneurs (KIEs). Yet, as EEs are mostly considered isolated from each other and their connectedness is neglected, there is a lack of research on their capacity to attract KIEs rather than to locally nurturing them. Inadequate data has been a major obstacle to this ...
Added: June 30, 2025
Fuad Aleskerov, Tkachev D., , in: In Honor of the 70th Birthday of Panos Pardalos. Theory, Algorithms and Experiments in Applied Optimization. SOIA, volume 226Vol. 226.: Springer, 2025. Ch. 2 P. 22–37.
New centrality indices Bundle and Pivotal, were introduced to identify key vertices taking into account parameters of vertices and an influence of vertices to a vertex. However, the Bundle and Pivotal indices are constructed in that way that they do not take into account directly the weights of arcs – important information about interaction among vertices ...
Added: April 29, 2025
Mikhaylova O., Dokuka S., Quality and Quantity 2025 Vol. 59 P. 4077–4095
This paper explores the use of the Core Discussion Network (CDN) methodology for analyzing personal networks. We discuss the method’s origins and the specifics of its implementation, followed by a brief overview of findings from international studies. Using data collected in 2021 from 270 first-year undergraduate and graduate students at a top-tier Russian university, we ...
Added: April 19, 2025
Fuad Aleskerov, Tkachev D., , in: Dynamics of Disasters: From Natural Phenomena to Human ActivityVol. 217.: Springer, 2024. Ch. 1 P. 1–13.
The situation of deep uncertainty is defined by the absence of any statistical evaluations of the situation development. For instance, such situations may include events that occur for the first time. We use scenario analysis to model the potential outcomes of events affecting networks under deep uncertainty. Centrality indices are used to identify vulnerable vertices ...
Added: March 5, 2025
Meshcheryakova N., Швыдун С. В., Automation and Remote Control 2024 No. 85 P. 685–695
Identification of central elements in networks is an ill-defined problem. Hence, a large number of centrality measures have been proposed in the literature. We present a survey of existing axioms, which characterize certain properties of centralities. We also perform a perturbation analysis of centrality measures in real and artificial networks. ...
Added: December 2, 2024
Gallyamova A., Grigoryev D., Natural Systems of Mind 2025 Vol. 5 No. 1 P. 27–41
This study examines the psychometric properties of the Russian adult version of the Structure of Temperament Questionnaire (STQ-77Ru) within a diverse community sample. Employing both network psychometrics and Item Response Theory (IRT), we analyzed data from 3,442 Russian participants, aged between 18 and 81 years (M = 38, SD = 11). Network psychometrics were used ...
Added: November 1, 2024
Aleskerov F. T., Dutta S., Egorov D. et al., The Journal of the New Economic Association 2024 No. 3(64) P. 12–29
We propose new models to find the vulnerable countries in terms of food security. These models are based on network analysis under deep uncertainty. The conditions of deep uncertainty affect the supply and demand of food, namely, carbohydrates of the countries. Under such conditions networks of the carbohydrate supply between countries are constructed. The countries ...
Added: October 15, 2024
Sizov M., Shushkin M., Информационное общество 2025 № 5 С. 124–143
The study is dedicated to investigating the role of digital technologies in enhancing the competitiveness of fast-moving consumer goods (FMCG) companies in Kazakhstan. The empirical foundation of this study was established through the analysis of responses from an online questionnaire survey conducted in 2024, which involved representatives from 50 different FMCG companies operating within the ...
Added: September 22, 2024
Lysova-Golomzina E., Kapuza A., , in: 16th International Conference on Education and New Learning Technologies, Palma, Spain. 1-3 July, 2024. EDULEARN24 Proceedings.: IATED, 2024. P. 2290–2295.
Added: September 17, 2024
Sorokin K., Andrey Z., Levin A. et al., , in: Data Analytics and Management in Data Intensive Domains: 25th International Conference, DAMDID/RCDL 2023, Moscow, Russia, October 24–27, 2023, Revised Selected PapersVol. 2086: Communications in Computer and Information Science.: Springer, 2024. P. 77–87.
Added: September 13, 2024