Barabási-Albert random graphs, scale-free distributions and bounds for approximation through Stein's method by Ford, E

“…Barabási-Albert random graph models are a class of evolving random graphs that are frequently used to model social networks with scale-free degree distributions. …”

Optimal shattering of complex networks by Nicole Balashov, Reuven Cohen, Avieli Haber, Michael Krivelevich, Simi Haber

Subjects: “…Random graphs…”
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An Exact and an Approximation Method to Compute the Degree Distribution of Inhomogeneous Random Graph Using Poisson Binomial Distribution by Róbert Pethes, Levente Kovács

Subjects: “…inhomogeneous random graph…”
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Hourly Network Anomaly Detection on HTTP Using Exponential Random Graph Models and Autoregressive Moving Average by Richard Li, Michail Tsikerdekis

“…We use exponential random graph models (ERGMs) in order to flatten hourly network topological characteristics into a time series, and Autoregressive Moving Average (ARMA) to analyze that time series and to detect potential attacks. …”
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RG-GCN: A Random Graph Based on Graph Convolution Network for Point Cloud Semantic Segmentation by Ziyin Zeng, Yongyang Xu, Zhong Xie, Jie Wan, Weichao Wu, Wenxia Dai

“…To address this problem, this paper proposes a random graph based on graph convolution network, referred to as RG-GCN. …”
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Exploring user interaction patterns in an online physician interactive community based on exponential random graph models by Jingfang Liu, Yu Zeng

“…Then, an exponential random graph model (ERGM) was applied to quantitatively analyze this user interaction network. …”
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Tie-formation process within the communities of the Japanese production network: application of an exponential random graph model by Hazem Krichene, Abhijit Chakraborty, Yoshi Fujiwara, Hiroyasu Inoue, Masaaki Terai

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Network Analysis in Disorders of Consciousness: Four Problems and One Proposed Solution (Exponential Random Graph Models) by John Dell'Italia, Micah A. Johnson, Paul M. Vespa, Martin M. Monti, Martin M. Monti

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Only the source’s and sink’s neighborhood matters: convergence results for unicast and multicast connections on random graphs and hypergraphs. by Casse, Jérôme, Medard, Muriel

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Analysing Exponential Random Graph (p-star) Models with Missing Data Using Bayesian Data Augmentation by Koskinen, J, Robins, G, Pattison, P

“…We discuss various aspects of fitting exponential family random graph (or p-star) models (ERGMs) to networks with missing data and present a Bayesian data augmentation algorithm for the purpose of estimation. …”

ON THE MAXIMUM OF THE MODULARITY OF RANDOM CONFIGURATION GRAPHS by Yury Pavlov

Subjects: “…configuration random graph…”
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A New Type of Bipartite Random Graph as a Transform of Seismogram and Its Potential for Organizing Seismic Databases by Ranko Babić, Lidija Babić

“…This rearrangement of SFs, if they are assigned by positive integers, represents the formal mapping of a regular string of integers into a random one, which can be represented with a bipartite random graph (bigraph). Due to its specific randomness, such a bigraph is considered a new type of random balanced bigraph. …”
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Utility of Facebook’s Social Connectedness Index in Modeling COVID-19 Spread: Exponential Random Graph Modeling Study by Beth Prusaczyk, Kathryn Pietka, Joshua M Landman, Douglas A Luke

“…MethodsIn September 2020, we conducted this cross-sectional study using publicly available data to test the association between the SCI and COVID-19 spread in Missouri using exponential random graph models, which model relational data, and the outcome variable must be binary, representing the presence or absence of a relationship. …”
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Most Undirected Random Graphs Are Amplifiers of Selection for Birth-Death Dynamics, but Suppressors of Selection for Death-Birth Dynamics. by Laura Hindersin, Arne Traulsen

“…Here, we show that almost any undirected random graph is an amplifier of selection for Birth-death updating, where an individual is selected to reproduce with probability proportional to its fitness and one of its neighbors is replaced by that offspring at random. …”
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Micro to Macro Equation-free Bifurcation Analysis of Neuronal Random Graphs: Symmetry Breaking of Majority-rule Dynamics by K. Spiliotis, L. Russo, C. Siettos

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A note on spanning <em>K</em>_<em>r</em>-cycles in random graphs by Alan Frieze

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An Lp theory of sparse graph convergence I: Limits, sparse random graph models, and power law distributions by Borgs, Christian, Chayes, Jennifer, Cohn, Henry, Zhao, Yufei

“…In this paper, we lay the foun-dations of the Lp theory of graphons, characterize convergence, and developcorresponding random graph models, while we prove the equivalence of severalalternative metrics in a companion paper.…”
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Moderate deviations of subgraph counts in the Erdős-Rényi random graphs G(n,m) and G(n,p) by Goldschmidt, C, Simon Griffiths, Scott, A

“…The main contribution of this article is an asymptotic expression for the rate associated with moderate deviations of subgraph counts in the Erdős-Rényi random graph G(n,m). Our approach is based on applying Freedman's inequalities for the probability of deviations of martingales to a martingale representation of subgraph count deviations. …”

The critical mean-field random cluster model by Homer, A

Subjects: “…Random graphs…”

Examining Patterns of Information Exchange and Social Support in a Web-Based Health Community: Exponential Random Graph Models by Liu, Xuan, Jiang, Shan, Sun, Min, Chi, Xiaotong

“…A reply network was extracted from the data set, and exponential random graph models were used to discover patterns of information exchange and social support from the network. …”
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