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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…
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Keywords:
large scale;
scale free;
model;
generating large ... See more keywords
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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…
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Keywords:
local convergence;
convergence random;
graph colorings;
random graph ... See more keywords
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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…
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Keywords:
graph multiple;
multiple type;
type edges;
barab albert ... See more keywords
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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…
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Keywords:
graphs hyperbolic;
community;
random graphs;
graph ... See more keywords
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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…
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Keywords:
tourism studies;
tourism;
graph models;
peace ... See more keywords
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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…
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Keywords:
brain;
graph models;
exponential random;
temporal exponential ... See more keywords
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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,…
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Keywords:
time varying;
time;
graph;
random time ... See more keywords
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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…
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Keywords:
distribution maximum;
maximum degrees;
degrees binomial;
binomial random ... See more keywords
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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…
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Keywords:
network;
exponential random;
management;
border management ... See more keywords
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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…
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Keywords:
resource conserving;
graph models;
random graph;
conserving agriculture ... See more keywords