Articles with "random graph" as a keyword



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Generating large scale-free networks with the Chung-Lu random graph model

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Published in 2021 at "Networks"

DOI: 10.1002/net.22012

Abstract: Being able to produce synthetic networks by means of generative random graph models and scalable algorithms is a recurring tool-of-the-trade in network analysis, as it provides a well-founded basis for the statistical analysis of various… read more here.

Keywords: large scale; scale free; model; generating large ... See more keywords
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Local Convergence of Random Graph Colorings

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Published in 2018 at "Combinatorica"

DOI: 10.1007/s00493-016-3394-x

Abstract: Let G = G(n, m) be a random graph whose average degree d = 2m/n is below the k-colorability threshold. If we sample a k-coloring σ of G uniformly at random, what can we say… read more here.

Keywords: local convergence; convergence random; graph colorings; random graph ... See more keywords
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Barabási–Albert random graph with multiple type edges and perturbation

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Published in 2019 at "Acta Mathematica Hungarica"

DOI: 10.1007/s10474-019-01005-5

Abstract: We introduce the perturbed version of the Barabási–Albert random graph with multiple type edges and prove the existence of the (generalized) asymptotic degree distribution. Similarly to the non-perturbed case, the asymptotic degree distribution depends on… read more here.

Keywords: graph multiple; multiple type; type edges; barab albert ... See more keywords
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HyGen: generating random graphs with hyperbolic communities

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Published in 2019 at "Applied Network Science"

DOI: 10.1007/s41109-019-0166-8

Abstract: Random graph generators are necessary tools for many network science applications. For example, the evaluation of graph analysis algorithms requires methods for generating realistic synthetic graphs. Typically random graph generators are generating graphs that satisfy… read more here.

Keywords: graphs hyperbolic; community; random graphs; graph ... See more keywords
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Demonstration of exponential random graph models in tourism studies: Is tourism a means of global peace or the bottom line?

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Published in 2018 at "Annals of Tourism Research"

DOI: 10.1016/j.annals.2017.12.007

Abstract: Most social network analyses conducted in hospitality and tourism studies are merely descriptive. Despite the recent popularity of exponential-family of random graph models (ERGMs) in various scientific investigations, no studies have utilized these inferential methods… read more here.

Keywords: tourism studies; tourism; graph models; peace ... See more keywords
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Temporal exponential random graph models of longitudinal brain networks after stroke

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Published in 2022 at "Journal of the Royal Society Interface"

DOI: 10.1098/rsif.2021.0850

Abstract: Plasticity after stroke is a complex phenomenon. Functional reorganization occurs not only in the perilesional tissue but throughout the brain. However, the local connection mechanisms generating such global network changes remain largely unknown. To address… read more here.

Keywords: brain; graph models; exponential random; temporal exponential ... See more keywords
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Filtering Random Graph Processes Over Random Time-Varying Graphs

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Published in 2017 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2017.2706186

Abstract: Graph filters play a key role in processing the graph spectra of signals supported on the vertices of a graph. However, despite their widespread use, graph filters have been analyzed only in the deterministic setting,… read more here.

Keywords: time varying; time; graph; random time ... See more keywords
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On the Distribution of the Maximum k-Degrees of the Binomial Random Graph

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Published in 2018 at "Doklady Mathematics"

DOI: 10.1134/s1064562418070268

Abstract: For the maximum number Δn of common neighbors of k vertices in the random graph G(n, p), there exist functions an and σn such that $$\frac{\Delta_n - a_n}{\sigma_n}$$Δn−anσn converges in distribution to a random variable… read more here.

Keywords: distribution maximum; maximum degrees; degrees binomial; binomial random ... See more keywords
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Antecedents of Border Management Network in El Paso, Texas: An Exponential Random Graph Model

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Published in 2018 at "Journal of Homeland Security and Emergency Management"

DOI: 10.1515/jhsem-2016-0011

Abstract: Abstract Despite the growing interest in interorganizational border management, relatively little is known about antecedents that drive such coordination efforts emerging in and around border regions. This case study uses exponential random graph models to… read more here.

Keywords: network; exponential random; management; border management ... See more keywords
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Smallholder farmers’ social networks and resource-conserving agriculture in Ghana: a multicase comparison using exponential random graph models

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Published in 2019 at "Ecology and Society"

DOI: 10.5751/es-10623-240105

Abstract: We examined what type of information network structures lie within rural cooperatives and what these structures mean for promoting resource-conserving agriculture. To better understand whether and how environmental outcomes are linked to these microlevel social… read more here.

Keywords: resource conserving; graph models; random graph; conserving agriculture ... See more keywords