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641
Participatory approaches and Social Network Analysis to analyse the emergence of collective action for rural development: a case study in the Spanish Pyrenees
Published 2024-12-01“…The trust network was analysed using the Louvain’s algorithm to identify potential internal communities and the exponential random graph model (ERGM) to infer the shaping effects of actors’ attributes on the network’s structure. …”
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642
A social network analysis model approach to understand tuberculosis transmission in remote rural Madagascar
Published 2023-08-01“…Network- and individual-level characteristics determining contact formation and structure were identified by fitting an exponential random graph model (ERGM), which formed the basis of the contact structure and model dynamics. …”
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643
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644
Connectivity and Equilibrium in Random Games
Published 2012“…In order to obtain a refined characterization of the degree of connectivity associated with the existence of equilibria, we also study the model in the random graph setting. In particular, we look at the case where the interaction graph is drawn from the Erdős–Rényi, G(n, p), model where each edge is present independently with probability p. …”
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645
Topics in additive combinatorics
Published 2016“…We prove that if we sample such a random graph independently for every prime, then almost surely (i) for infinitely many primes <em>p</em> the clique number is Ω(log <em>p</em> log log <em>p</em>), whilst (ii) for almost all primes the clique number is (2 + <em>o</em>(1)) log <em>p</em>.…”
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646
Development of Social Support Networks by Patients With Depression Through Online Health Communities: Social Network Analysis
Published 2021-01-01“…MethodsWe used social network theory and constructed exponential random graph models to help understand the informational and emotional support networks in online depression communities. …”
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647
Asymmetric particle systems and last-passage percolation in one and two dimensions
Published 2012“…</p> <p>The second model we study is directed last-passage percolation on the random graph <em>G</em> = (<em>V,E</em>) where <em>V</em> = &Zopf; and each edge (<em>i,j</em>), for <em>i</em> &LT;: <em>j</em> ∈ , is present in <em>E</em> independently with some probability <em>p</em> ∈ (0,1]. …”
Thesis -
648
Local access to huge random objects through partial sampling
Published 2021“…As in previous local-access implementations for random graphs, we support Vertex-Pair and Next-Neighbor queries. …”
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649
Livestock Network Analysis for Rhodesiense Human African Trypanosomiasis Control in Uganda
Published 2021-06-01“…This study explores livestock movement data to describe cattle trade network topology and assess the effects of disease control interventions on the transmission of rHAT infectiousness.Methods: Network analysis was used to generate a cattle trade network with livestock data which was collected from cattle traders (n = 197) and validated using random graph methods. Additionally, the cattle trade network was combined with a susceptible, infected, recovered (SIR) compartmental model to simulate spread of rHAT (Ro 1.287), hence regarded as “slow” pathogen, and evaluate the effects of disease interventions.Results: The cattle trade network exhibited a low clustering coefficient (0.5) with most cattle markets being weakly connected and a few being highly connected. …”
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650
Telehealth Use Following COVID-19 Within Patient-Sharing Physician Networks at a Rural Comprehensive Cancer Center: Cross-sectional Analysis
Published 2023-01-01“…Exponential-family random graph models were performed to estimate homophily terms for the likelihood of ties existing between physicians colocated at the hub comprehensive cancer center. …”
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651
Entropy Related to <i>K</i>-Banhatti Indices via Valency Based on the Presence of <i>C</i><sub>6</sub><i>H</i><sub>6</sub> in Various Molecules
Published 2023-01-01“…Shannon’s entropy metric is applied to represent a random graph’s variability. Entropy is a thermodynamic function in physics that, based on the variety of possible configurations for molecules to take, describes the randomness and disorder of molecules in a given system or process. …”
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652
Impact of post-incarceration care engagement interventions on HIV transmission among young Black men who have sex with men and their sexual partners: an agent-based network modelin...
Published 2023-12-01“…Methods: Exponential random graph models were used to model network formation and dissolution dynamics, and network dynamics and HIV care continuum engagement were varied according to incarceration status. …”
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653
Strategic delay and information exchange in endogenous social networks
Published 2011Get full text
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654
Limits of Latin squares
Published 2023-07-01“…This can be well approximated by a random graph with edge probability 1/2. Similarly, if we consider the uniform measure on $[0,1]^2$ as a permuton, it is well approximated by a random permutation. …”
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655
Weighted hypersoft configuration model
Published 2020-10-01“…If the degree sequence is constrained exactly, the corresponding microcanonical ensemble of random graphs with a given degree sequence is the configuration model per se. …”
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656
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657
Hierarchy Depth in Directed Networks
Published 2022-02-01“…The behavior of the two depth measures is investigated in Erdös-Rényi random graphs, directed Barabási-Albert networks, and in Gnutella p2p share network. …”
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658
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659
A sequence of triangle-free pseudorandom graphs
Published 2016“…A construction of Alon yields a sequence of highly pseudorandom triangle-free graphs with edge density significantly higher than one might expect from comparison with random graphs. We give an alternative construction for such graphs.…”
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660