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Link Graph and Data-Driven Graphs as Complex Networks: Comparative Study
P. 120–129.
In book
Vol. 1559: CCIS . , Springer, 2024.
Lubashevskiy V., Ejjbiri H., Lubashevsky I., IEEE Access 2025 Vol. 13 P. 60889–60902
The assessment of edge criticality ranking in complex networks is a challenging issue in network science and has numerous applications, including network decomposition and, conversely, enhancing the resilience and redundancy of complex systems. Two main approaches are commonly used to rank edges based on their importance for maintaining network connectivity. The first is the Static approach, which relies on ...
Added: July 10, 2025
Krivonosov M., Nazarenko T., Bacalini M. G. et al., Chaos, Solitons and Fractals 2022 Vol. 165 Article 112863
Despite the fact that the cause of Down Syndrome (DS) is well established, the underlying molecular mechanisms that contribute to the syndrome and the phenotype of accelerated aging remain largely unknown. DNA methylation profiles are largely altered in DS, but it remains unclear how different methylation regions and probes are structured into a network of interactions. We ...
Added: March 12, 2024
Springer, 2024.
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2023). The carefully selected papers cover ...
Added: March 5, 2024
Cham: Springer, 2020.
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, ...
Added: February 27, 2024
Springer, 2024.
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2023). The carefully selected papers cover ...
Added: February 22, 2024
Vasilyeva E., Romance M., Ivan Samoylenko et al., Entropy 2023 Vol. 25 No. 6 Article 923
We explore the metric structure of networks with higher-order interactions and introduce a novel definition of distance for hypergraphs that extends the classic methods reported in the literature. The new metric incorporates two critical factors: (1) the inter-node distance within each hyperedge, and (2) the distance between hyperedges in the network. As such, it involves ...
Added: July 28, 2023
Швыдун С. В., PeerJ Computer Science 2023 Vol. 9 Article e1371
The analysis of networks describing many social, economic, technological, biological and other systems has attracted a lot of attention last decades. Since most of these complex systems evolve over time, there is a need to investigate the changes, which appear in the system, in order to assess the sustainability of the network and to identify ...
Added: April 13, 2023
Chepovskiy A., Успехи кибернетики 2023 Т. 4 № 1 С. 56–64
The paper considers the problems of analyzing graphs that represent complex networks of interacting objects. The relevant domains are described, social network graph analysis and implicit community detection are considered. The key graph-based community detection algorithms and the quality assessment of their results are discussed. The author proposed promising development trends using the graphs representing actual social ...
Added: March 31, 2023
Kumarasamy S., Srinivasan S., Gogoi P. B. et al., Communications in Nonlinear Science and Numerical Simulation 2022 Vol. 107 Article 106170
We present a class of extreme events manifested in dynamical systems involving time-dependentattractive and repulsive couplings. We consider two cases of time-varying coupling strengths -(i) explicit time-dependence (periodically varying) and (ii) implicit time dependence (distance-dependent coupling). In both of these cases, the coupled systems generate quasi-stable equilibriumpoints, which in turn are responsible for the ...
Added: December 17, 2021
IEEE, 2021.
Added: December 2, 2021
Rocha L. ., Ryckebusch J., Schoors K. et al., Scientific Reports 2021 No. 11 Article 12584
Social animals self-organise to create groups to increase protection against predators and productivity. One-to-one interactions are the building blocks of these emergent social structures and may correspond to friendship, grooming, communication, among other social relations. These structures should be robust to failures and provide efficient communication to compensate the costs of forming and maintaining the ...
Added: September 24, 2021
Evmenova E., Gromov D., , in: Networks in the Global World V: Proceedings of NetGloW 2020. Lecture Notes in Networks and SystemsVol. 181.: Springer, 2021. P. 120–132.
Signed networks form a particular class of complex networks that has many applications in sociology, recommender and voting systems. The contribution of this paper is twofold. First, we propose an approach aimed at determining the characteristic subgraphs of the network. Second, we apply the developed approach to the analysis of the network describing the Wikipedia ...
Added: March 1, 2021
Springer, 2021.
Volume 1 & 2 Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020 ...
Added: October 31, 2020
ООО «Издательство «Перо»», 2019.
Материалы III Международной школы-конференции молодых учёных «Динамика сложных сетей и их применение в интеллектуальной робототехнике» содержат тезисы докладов ученых и специалистов в области интеллектуальных технологий, инженерного образования, исследования и проектирования мехатронных и робототехнических систем, сложных сетей. Школа-конференция стала международной площадкой для обмена образовательными, научными и техническими идеями и достижениями между специалистами, в особенности молодыми учёными ...
Added: September 30, 2020
Valba O. V., Gorsky A., Avetisov V. A. et al., Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 2020 Vol. 102 No. 1 P. 1–6
Pandemic propagation of COVID-19 motivated us to discuss the impact of the human network clustering on epidemic spreading. Today, there are two clustering mechanisms which prevent of uncontrolled disease propagation in a connected network: an “internal” clustering, which mimics self-isolation (SI) in local naturally arranged communities, and an “external” clustering, which looks like a sharp ...
Added: August 28, 2020
Miasnikof P., Shestopaloff A. Y., Bonner A. J. et al., Journal of Complex Networks 2020 Vol. 8 No. 3 P. 1–33
We introduce graph clustering quality measures based on comparisons of global, intra- and inter-cluster densities, an accompanying statistical significance test and a step-by-step routine for clustering quality assessment. Our work is centred on the idea that well-clustered graphs will display a mean intra-cluster density that is higher than global density and mean inter-cluster density. We ...
Added: August 4, 2020
Springer, 2020.
This book constitutes the proceedings of the 17th International Workshop on Algorithms and Models for the Web Graph, WAW 2020, held in Warsaw, Poland, in September 2020. The 12 full papers presented in this volume were carefully reviewed and selected from 19 submissions. The aim of the workshop was to further the understanding of graphs ...
Added: June 25, 2020
Springer, 2019.
This book constitutes the proceedings of the 16th International Workshop on Algorithms and Models for the Web Graph, WAW 2019, held in Brisbane, QLD, Australia, in July 2019.
The 9 full papers presented in this volume were carefully reviewed and selected from 13 submissions. The papers cover topics of all aspects of algorithmic and mathematical research ...
Added: April 25, 2020
Iskhakov L., Kamiński B., Mironov M. et al., Journal of Complex Networks 2020 Vol. 8 No. 1 P. 1–32
In this article, we study the clustering properties of the spatial preferential attachment (SPA) model. This model naturally combines geometry and preferential attachment using the notion of spheres of influence. It was previously shown in several research papers that graphs generated by the SPA model are similar to real-world networks in many aspects. Also, this ...
Added: April 24, 2020
Springer, 2020.
Springer Proceedings in Complexity publishes proceedings from scholarly meetings on all topics relating to the interdisciplinary studies of complex systems science. Springer welcomes book ideas from authors. The series is indexed in Scopus.
Proposals must include the following: - name, place and date of the scientific meeting - a link to the committees (local organization, international advisors etc.) - ...
Added: February 23, 2020
Dmitriev A., Dmitriev V., Balybin S., Complexity 2019 Vol. 2019 No. Article ID 8750643 P. 1–16
Recently, there has been an increasing number of empirical evidence supporting the hypothesis that spread of avalanches of microposts on social networks, such as Twitter, is associated with some sociopolitical events. Typical examples of such events are political elections and protest movements. Inspired by this phenomenon, we built a phenomenological model that describes Twitter’s self-organization ...
Added: January 22, 2020
Dayana Mukhametshina, Shapoval S., Shnirman M. G., , in: Proceedings of the MACSPro Workshop 2019Vol. 2478: CEUR Workshop Proceedings.: CEUR-WS.org, 2019. P. 127–138.
In 1987, Bak, Tang, and Wiesenfeld introduced a mechanism (hereafter, the BTW mechanism) that underlies self-organized critical systems. Extreme events generated by the BTW mechanism are be- lieved to exhibit an unpredictable occurrence. In spite of this general opinion, the largest events in the original BTW model are efficiently predictable by algorithms that exploit information ...
Added: January 9, 2020