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Titlebook: Complex Networks and Their Applications VII; Volume 1 Proceedings Luca Maria Aiello,Chantal Cherifi,Luis M. Rocha Conference proceedings 20

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https://doi.org/10.1007/978-3-319-62331-3based on link analysis such as .. In this paper we focus on studying such deviations in ordering/ranking imposed by . over incomplete graphs. We first show that deviations in rankings induced by . are indeed possible. We measure how much a ranking, induced by ., on an input graph could deviate from
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Wilfried Hazod,Eberhard Siebertassist traditional peer review in numerous tasks, such as attributing research grants, deciding scientific committees, or choosing faculty promotions. Traditional bibliometrics focus on individual measures, disregarding the whole data (i.e., the whole network). Here we put forward OTARIOS, a graph-r
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Wilfried Hazod,Eberhard Siebertade, starting from a single failure, leading to a large number of failed nodes. In this paper, we study the problem of identifying a set of . critical nodes, whose failure/attack leads to the maximum number of tripped nodes. There has been a lot of work on this problem, but it has been mainly restri
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Gennady Samorodnitsky,Murad S. Taqquhem. Several methods have been proposed but many of them are not suitable for large-scale networks because they have high complexity and use global knowledge. The Label Propagation Algorithm (LPA) assigns a unique label to every node and propagates the labels locally, while applying the majority rul
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Numerical aspects of least squares problemsn on the properties of nodes is available. The general idea is straightforward and extends the well-known Link Communities framework introduced by Ahn et al. [.] by additionally taking node attributes into account. The basic assumption is that each edge in a social network emerges in a certain conte
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