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Centrality Measures And Clustering Analysis in a Retail Food Network
P. 48-52.
Trading processes is a vital part of human life and any unstable situation results in the change of living conditions of individuals. We study the power of each country in terms of produce trade. Trade relations between countries are represented as a network, where vertices are territories and edges are export flows. As flows of products between participants are heterogeneous we consider various groups of substitute goods (cereals, fish, vegetables). We detect key participants affecting food retail with the use of classical centrality measures. We also perform clustering procedure in order to find communities in networks.
Language:
English
Publication based on the results of:
In book
2017 IEEE 11th International Conference on Application of Information and Communication Technologies
Vol. 1. , M. : Institute of Electrical and Electoronics Engineers, 2017
Alina V. Vladimirova, , in : Alternative Paths to Influence: Soft Power and International Politics. : Oxon : Routledge, 2023. Ch. 9. P. 556-571.
Soft power is one of the most influential concepts in the discipline of international relations, yet it is highly criticized for ambiguity and analytical weakness. Thus, through thoughtful literature reviews, scholars continue with clarifying and mapping the theory within a broader political power research programme. It is in this scholarly context that this article offers ...
Added: February 14, 2024
Aleskerov F. T., Бадгаева Д. Н., Pislyakov V. et al., Журнал Новой экономической ассоциации 2016 Т. 2 № 30 С. 193-207
The work is related to the detection of key international and Russian economic journals in cross-citation networks. A list of international journals and information on their cross-citations were taken from Web of Science (WoS) database while information on Russian journals was taken from Russian Science Citation Index (RSCI). We calculated classical centrality measures, which are ...
Added: July 13, 2016
Aleskerov F. T., Meshcheryakova N., Rezyapova A. et al., , in : Models, Algorithms, and Technologies for Network Analysis. Springer Proceedings in Mathematics & Statistics. Vol. 197.: Springer, 2017. P. 177-185.
Our study employs the network approach to the problem of international migration. During the last years, migration has attracted a lot of attention and has been examined from many points of view. However, very few studies considered it from the network perspective. The international migration can be represented as a network (or weighted directed graph) ...
Added: June 26, 2017
Lepskiy A., Meshcheryakova N., , in : Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2020. * 2. Vol. 1238.: Cham : Springer, 2020. P. 283-296.
We apply Dempster-Shafer theory in order to reveal important elements in undirected weighted networks. We estimate cooperation of each node with different groups of vertices that surround it via construction of belief functions. The obtained intensities of cooperation are further redistributed over all elements of a particular group of nodes that results in pignistic probabilities ...
Added: July 8, 2020
Alina V. Vladimirova, Journal of political power 2022 Vol. 15 No. 3 P. 556-571
Soft power is one of the most influential concepts in the discipline of international relations, yet it is highly criticized for ambiguity and analytical weakness. Thus, through thoughtful literature reviews, scholars continue with clarifying and mapping the theory within a broader political power research programme. It is in this scholarly context that this article offers ...
Added: February 14, 2024
Aleskerov F. T., Gavrilenkova I., Shvydun S. et al., Group Decision and Negotiation 2020 Vol. 29 No. 3 P. 399-424
Since 9/11, terrorism has become a global issue of the twenty-first century. Terrorist organizations become important actors of world politics as they gain influence on political process and decision-making. Some organizations compete with each other in order to gain more power and influence. We study the distribution of power among terrorist groups using network approach ...
Added: April 19, 2020
Springer, 2021
Volume 1 & 2 Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020 ...
Added: October 31, 2020
Aleskerov F. T., Meshcheryakova N., Shvydun S. et al., В кн. : Управление развитием крупномасштабных систем (MLSD'2017): Материалы Десятой международной конференции, 2 окт. - 4 окт. 2017 г. Т. 2: Пленарные доклады, секции 5 - 13.: Институт проблем управления им. В.А. Трапезникова РАН, 2017. С. 303-306.
В данной работе применяется сетевой подход к процессу экспорта и импорта продовольствия. Анализируются сети по каждой группе продуктов отдельно. Оценивается влияние стран-участников данного процесса с помощью классических моделей, а также разработанного подхода оценки влияния, основанного на взаимодействиях между участниками ближнего и дальнего уровня. Новый подход учитывает как индивидуальное, так и групповое влияние участников друг на ...
Added: December 22, 2017
Aleskerov F. T., Shvydun S., Meshcheryakova N., CRC Press, 2022
Over the last number of years there has been a growing interest in the analysis of complex networks which describe a wide range of real-world systems in nature and society. Identification of the central elements in such networks is one of the key research areas. Solutions to this problem are important for making strategic decisions ...
Added: November 12, 2021
Aleskerov F. T., Meshcheryakova N., Shvydun S. et al., , in : 6th International Conference on Computers Communications and Control (ICCCC) 2016. : Oradea : Agora University, 2016. P. 118-123.
The problem of quick detection of central nodes in large networks is studied. There are many measures that allow to evaluate a topological importance of nodes of the network. Unfortunately, most of them cannot be applied to large networks due to their high computational complexity. However, if we narrow the initial network and apply these ...
Added: June 8, 2016
Kazun A. D., Kazun A., / Высшая школа экономики. Series PS "Political Science". 2017. No. WP BRP 48/PS/2017.
December 19, 2016, saw three tragedies simultaneously, that could not go unnoticed by the Russian media: dozens of people died as a result of a surrogate alcohol poisoning in Irkutsk, a Russian ambassador was killed in Turkey, and a terrorist attack took place at the Christmas market in Berlin. In this article using the network ...
Added: August 11, 2017
Мальков Ю. А., Ponomarenko A., Plos One 2016 Vol. 11 No. 6 P. 1-14
Navigability, an ability to find a logarithmically short path between elements using only local information, is one of the most fascinating properties of real-life networks. However, the exact mechanism responsible for the formation of navigation properties remained unknown. We show that navigability can be achieved by using only two ingredients present in the majority of ...
Added: September 9, 2016
Springer, 2016
This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how ...
Added: September 21, 2016
NY : Springer, 2013
This volume contains two types of papers—a selection of contributions from the “Second International Conference in Network Analysis” held in Nizhny Novgorod on May 7–9, 2012, and papers submitted to an "open call for papers" reflecting the activities of LATNA at the Higher School for Economics.
This volume contains many new results in modeling and powerful ...
Added: September 27, 2013
Chepovskiy A., Lakhno A., , in : The 2nd Workshop CUBIST-WS-12 Combining and Uniting Intelligence with Semantic Technologies. : Leuven : [б.и.], 2012. P. 1-9.
Semantic network reduction is considered in application to visual analytics of relational data. Merging structurally equivalent nodes it is straightforward to construct a reduced semantic network that completely species the initial structure of relations between nodes. This paper presents the analysis of such reduction applied to the communication network from Stanford Large Network Dataset Collection. ...
Added: February 1, 2013
Fischer F., Göbel M., Kampkaspar D. et al., Proceedings of DH2015 2015
Added: September 28, 2016
Aachen : CEUR Workshop Proceedings, 2015
This volume contains proceedings of the fourth conference on Analysis of Images, Social Networks and Texts (AIST’2015)1 . The first three conferences in 2012–2014 attracted a significant number of students, researchers, academics and engineers working on interdisciplinary data analysis of images, texts, and social networks. The broad scope of AIST makes it an event where ...
Added: October 9, 2015
Shalileh S., Mirkin B., , in : Complex Networks & Their Applications IX. Volume 1: Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. : Springer, 2021. P. 3-14.
The problem of community detection in a network with features at its nodes takes into account both the graph structure and node features. The goal is to find relatively dense groups of interconnected entities sharing some features in common. Algorithms based on probabilistic community models require the node features to be categorical. We use a ...
Added: January 13, 2021
Соколова Т. В., Chepovskiy A., Системы высокой доступности 2018 Т. 14 № 3 С. 82-86
This paper presents the problem of forming user profiles based ondata from social networks. For user profiling both the user and his friends data are used. Community allocation algorithms in social graphs are used to detect groups of communication. Each community has its own profile, which includes the characteristics of the users that belong to it ...
Added: October 28, 2018
de Nooy W., Mrvar A., Batagelj V., Cambridge : Cambridge University Press, 2018
...
Added: November 1, 2018
Kotlyarevskaya I. V., Knyazeva E. G., Yuzvovich L. I. et al., Integration of Education 2018 Vol. 22 No. 1 P. 8-24
Introduction: the networking as a development practice in business has not yet become widespread. Moreover, there are very few studies of network interactions in the field of science and education. Advances in marketing evaluation of network entities are very rare. The goal of this article is to develop methodological criteria for such an assessment. These ...
Added: October 31, 2019
Prokhorenkova Liudmila, Tikhonov A., Litvak N., , in : The World Wide Web Conference. Vol. WWW ’19: The Web Conference 2019.: NY : Association for Computing Machinery (ACM), 2019. P. 3151-3157.
When information or infectious diseases spread over a network, in many practical cases, one can observe when nodes adopt information or become infected, but the underlying network is hidden. In this paper, we analyze the problem of finding communities of highly interconnected nodes, given only the infection times of nodes. We propose, analyze, and empirically ...
Added: April 22, 2020
Chepovskiy A., Leshchev D. A., Khaykova S.P., , in : Complex Networks & Their Applications IX. Volume 1: Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. : Springer, 2021. P. 38-50.
The processing of networks of interacting objects makes it possible to solve topical issues in the modern world of identifying opinion leaders and channels for the dissemination and exchange of information. In this work, the structure of networks of interacting objects and their possible analysis with the help of weighted graphs based on the interaction ...
Added: January 6, 2021
Sergey A. Korotaev, Elena N. Gasiukova, Changing Societies and Personalities 2023 Vol. 7 No. 4 P. 71-92
Occupation is a key factor in human thinking, feeling, and behavior. Theoretically derived occupational groupings or classes are typically used to transform occupations into a variable suitable for statistical manipulations. We argue that such groupings are unlikely to produce groups that are homogeneous across a broad set of attributes. Instead, we offer a data-driven approach to identify groups of occupations ...
Added: February 27, 2024