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Sandpile Cellular Automata with Manna Rule on the Chung-Lu Graph: Application to X Social Network
Studies in Computational Intelligence. 2026. Vol. 1265. P. 266–273.
A discrete-time model is presented for the self-organization of the X/Twitter social network to the edge of a phase transition, characterized by avalanche-like propagation of information in the network. The model is based on the analogy between the critical dynamics of the X social network and sandpile cellular automata with Manna rule on the Chung-Lu graph. An empirical justification is presented for the self-organization of the segment of the X social network to the edge, which unites network users who post and repost content relevant to the 2016 and 2020 United States presidential debates. The time intervals during which the network is on the edge have been established. A comparison of quantitative indicators of the criticality of real and model time intervals was used to validate the discrete-time model.
Aleksei Samarin, Nazarenko A., Nazarenko D. et al., Machine Learning and Knowledge Extraction 2026 Vol. 8 No. 10 Article 330
Automated microscopic image analysis is essential for quantitative microbiology, yet manual acquisition and generic recognition models struggle with morphological variability and scene artifacts. We address both ends of this pipeline. First, we present a low-cost, open-source acquisition system, based on an Arduino UNO R3 microcontroller and NEMA 17 stepper motors, that automates focusing, magnification, and ...
Added: October 14, 2026
Mamedov I., Fofanov M., Lukianchenko P. et al., IEEE Access 2026 No. 14 P. 26662–26671
DreamBooth-style personalization, which often relies on one or a few images, can memorize context (background, pose, lighting) rather than learning the subject’s identity, thereby reducing fidelity and limiting prompt-driven edits. P-LoRA (Probability LoRA) is introduced as a training-time modification that biases diffusion timestep sampling and utilizes importance weights, ensuring that the overall objective remains unchanged. ...
Added: October 14, 2026
Dmitriev A., Lebedev A., Shulman I., , in: Studies in Computational IntelligenceVol. 1265: Complex Networks & Their Applications XIV.: Springer, 2026. Ch. 1265 P. 266–273.
A discrete-time model is presented for the self-organization of the X/Twitter social network to the edge of a phase transition, characterized by avalanche-like propagation of information in the network. The model is based on the analogy between the critical dynamics of the X social network and sandpile cellular automata with Manna rule on the Chung-Lu ...
Added: October 13, 2026
Springer, 2026.
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 XIV International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2025). The carefully selected papers cover ...
Added: October 13, 2026
Springer, 2026.
This book offers a comprehensive overview of the latest research, innovations, and practical applications in the field of sustainability, with a focus on construction materials and their use in building and civil engineering structures. As an outcome of the 3rd International Conference on Sustainability: Developments and Innovations (ICSDI 2026), this book presents a selection of ...
Added: October 13, 2026
Dmitriev A., Kornilov V., Batienkov R., Lecture Notes in Civil Engineering 2026 Vol. 886 P. 249–255
Numerous studies have provided compelling evidence that the probability distribution of avalanche sizes follows a power law, and that 1/f noise is present in the stochastic dynamics of landslides. We present a theoretical explanation of these phenomena within the framework of self-organized criticality theory, proposing a discrete-time model in the form of a sandpile cellular ...
Added: October 13, 2026
Arutyunov K., Kharitonov I. A., Petrosyants K. O., JETP Letters 2026 Vol. 124 No. 6 P. 1–16
Superconducting properties of metallic micro- and nanowires can be entirely different from those of bulk superconductors. Of particular interest is the nonequilibrium current-induced state of a quasi-one-dimensional superconducting channel. The most interesting phenomenon here is the stepped I–V characteristic, explained by a process known as phase slip center activation. If the origin of such step-like ...
Added: October 13, 2026
Makarov D. M., Kalikin N., Fashchevsky K. A. et al., Electrochimica Acta 2026 Vol. 579 Article 150159
Machine learning (ML) has become a powerful tool for accelerating the development of carbon-based supercapacitors;
however, most published models assume that a single predictive framework can describe both conventional
porous carbons and hybrid carbon electrodes. Here, we test this assumption using a comprehensive
benchmark dataset and an extended literature-curated dataset enriched with synthesis- and electrolyte-related
descriptors. Three ML algorithms ...
Added: October 13, 2026
Springer, 2024.
This proceedings book collects contributions from the Internet and Modern Society conference in 2023. The gathering addresses topical issues of digital geography and geography of information society, providing a platform for discussion and collaboration between experts in related fields. Participants from all over the world consider the controversies and challenges posed by globalization, focusing on ...
Added: November 11, 2024
Атласов И. В., Выскуб В. Г., Kaperko A. et al., Системы управления и информационные технологии (Российская Федерация) 2024 № 1(95) С. 57–62
It is proved that, in the limit, the associated scalable Markov process converges to a deterministic dynamical system with a unique equilibrium point described by a non-standard fixed point method ...
Added: September 12, 2024
I. Samoylenko, Aleja D., Primo E. et al., Physical Review X 2023 Vol. 13 No. 2 Article 021032
A wealth of evidence shows that real-world networks are endowed with the small-world property, i.e., that the maximal distance between any two of their nodes scales logarithmically rather than linearly with their size. In addition, most social networks are organized so that no individual is more than six connections apart from any other, an empirical ...
Added: July 28, 2023
Lubashevskiy V., Lubashevsky I., IEEE Access 2023 Vol. 11 P. 58046–58054
Detection of significant edges maintaining the connectivity in complex networks is essential in many applications such as attack vulnerability analysis, the spread of epidemic diseases, and information spreading patterns discovery. There are many existing methods enabling us to evaluate the criticality ranking of links in networks, which are based on straightforward algorithms and topological features of analyzed graphs. In ...
Added: June 26, 2023
Vilkova O., Вестник Томского государственного университета. Философия. Социология. Политология 2020 № 54 С. 163–175
The article is dedicated to modern method of data extraction from the Web, which is called web-scraping, and its scientific meaningfulness and applicability in sociological studies. Based on trends across empirical sociological studies, concepts of digital sociology, science and technology studies (STS), computational sociology and issues raised at recent international committees’ meetings, the current research ...
Added: December 14, 2020
Ignatov D. I., Semenov A., Комиссарова Д. В. et al., , in: Formal Concept Analysis of Social Networks.: Springer, 2017. Ch. 4 P. 59–96.
Multimodal clustering is an unsupervised technique for mining interesting patterns in n-ary relations or n-mode networks. Among different types of such generalised patterns one can find biclusters and formal concepts (maximal bicliques) for two-mode case, triclusters and triconcepts for three-mode case, closed n-sets for n-mode case, etc. Object-attribute biclustering (OA-biclustering) for mining large binary datatables (formal contexts or two-mode ...
Added: December 17, 2017
Manita A., Lobachevskii Journal of Mathematics 2017 Vol. 38 No. 5 P. 948–953
We introduce a class of stochastic networks in which synchronization between nodes is modelled by a message passing mechanism with heterogeneous Markovian routing. We present a series of results about probability distribution related to steady states of such models. ...
Added: June 20, 2017
Manita A., Journal of Physics: Conference Series 2016 Vol. 681 No. 1 P. 1–6
We consider N-component synchronization models defined in terms of stochastic particle systems with special interaction. For general (nonsymmetric) Markov models we discuss phenomenon of the long time stochastic synchronization. We study behavior of the system in different limit situations related to appropriate changes of variables and scalings. For N = 2 limit distributions are found ...
Added: March 29, 2016
Anatoly Manita, Queueing Systems 2014 Vol. 76 No. 2 P. 149–180
We consider a stochastic model of clock synchronization in a wireless network of N sensors interacting with one dedicated accurate time server. For large N we find an estimate of the final time sychronization error for global and relative synchronization. The main results concern the behavior of the network on different timescales tN→∞ , N→∞ ...
Added: February 4, 2015