Book review: Random graphs, by V. F. Kolchin by W. Klonowski

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Structify-Net: Random Graph generation with controlled size and customized structure by Cazabet, Remy, Citraro, Salvatore, Rossetti, Giulio

Subjects: “…Network Generation, Random Graphs, Network Structure, Python Library…”
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Exploring Coinvestment Partner Selection Strategies Using Exponential Random Graph Models by Jie Ren

“…This research analyzes cooperative relationships using exponential random graph models, considering both structural effects and node attributes. …”
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Scale-Free Property for Degrees and Weights in a Preferential Attachment Random Graph Model by István Fazekas, Bettina Porvázsnyik

“…A random graph evolution mechanism is defined. The evolution studied is a combination of the preferential attachment model and the interaction of four vertices. …”
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A continuous-time network evolution model describing $ N $-interactions by István Fazekas, Attila Barta, László Fórián, Bettina Porvázsnyik

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Structural phase transitions in neural networks by Tatyana S. Turova

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What can mathematical models tell us about the relationship between circular migrations and HIV transmission dynamics? by Aditya S. Khanna, Dobromir T. Dimitrov, Steven M. Goodreau

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Vertex degree distributions of growing graphs: calculation methods using error control by V. N. Zadorozhnyi, E. B. Yudin, V. A. Badryzlov

Subjects: “…random graphs with nonlinear preferential attachment rule…”
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From Net Topology to Synchronization in HR Neuron Grids by Stefano Cosenza, Paolo Crucitti, Luigi Fortuna, Mattia Frasca, Manuela La Rosa, Cecilia Stagni, Lisa Usai

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Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

“…We analyze the impact of these structures on temporal network evolution by incorporating them into exponential random graph models across five networks of varying size, density, and directionality. …”
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Erdős–Rényi Poissonized by Curien, Nicolas

“…We introduce a variant of the Erdős–Rényi random graph where the number of vertices is random and follows a Poisson law. …”
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On the birthday problem: some generalizations and applications by P. N. Rathie, P. Zörnig

“…The distribution is generalized in two possible directions, one of them consists in considering a random graph with a single attracting center. Possible applications are also indicated.…”
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The Maximal Length of 2-Path in Random Critical Graphs by Vonjy Rasendrahasina, Vlady Ravelomanana, Liva Aly Raonenantsoamihaja

“…Consider the Erdős-Rényi random graph G(n,M) built with n vertices and M edges uniformly randomly chosen from the set of n2 edges. …”
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The Evolution and Determinants of Interorganizational Coinvention Networks in New Energy Vehicles: Evidence from Shenzhen, China by Jia Liu, Zhaohui Chong, Shijian Lu

“…The empirical results from the Exponential Random Graph Model (ERGM) demonstrate that, with the deepening of collaborative innovation, technological upgrading caused by knowledge exchange makes organizations in the network more inclined to cognitive proximity and less dependent on geographical proximity. …”
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Institutional distance, trade agreements, and intellectual property trade networks: Evidence from cross-border data. by Yida Wang, Jiangjiao Wang

“…Based on the Temporal Exponential Random Graph Models (TERGM), this paper applies global intellectual property trade data between countries to investigate the impact and mechanism of institutional distance on the intellectual property trade network. …”
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On the Distributions of Subgraph Centralities in Complex Networks by Faxu Li, Liang Wei, Haixing Zhao, Feng Hu

“…In this paper, the important issue of subgraph centrality distributions is investigated through theory-guided extensive numerical simulations, for three typical complex network models, namely, the ER random-graph networks, WS small-world networks, and BA scale-free networks. …”
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Information Spread of Emergency Events: Path Searching on Social Networks by Weihui Dai, Hongzhi Hu, Tunan Wu, Yonghui Dai

“…This paper collects Internet data based on data acquisition and topic detection technology, analyzes the process of information spread on social networks, describes the diffusions and impacts of that information from the perspective of random graph, and finally seeks the key paths through an improved IBF algorithm. …”
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Analysis of the structural reliability of communication networks supporting protective switching mechanisms for one protected section and one backup section by K. А. Batenkov, A. B. Fokin

“…The following methods are used: theory of random graphs, matrices, probabilities and computer modeling.Results. …”
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A Network-Based Approach to Modeling and Predicting Product Coconsideration Relations by Zhenghui Sha, Yun Huang, Jiawei Sophia Fu, Mingxian Wang, Yan Fu, Noshir Contractor, Wei Chen

“…This paper presents a network-based approach based on Exponential Random Graph Models to study customers’ consideration behaviors according to engineering design. …”
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The Intertemporal Evolution Model of Enterprise R&D Cooperative Network by Rongguo Qiu, Yutong Wang, Tingqiang Chen

“…This work uses calculation experiment and simulation method to study the evolution characteristics of enterprise R&D network in different initial R&D network topology structures, such as Erdos–Renyi random graph, WS small-world network, and BA scale-free network, and determine how previous history, attractiveness, and reputation for enterprise influence the steady-state characteristics of R&D network evolution. …”
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