[PDF] Top 20 Node and layer eigenvector centralities for multiplex networks
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Node and layer eigenvector centralities for multiplex networks
... network. Networks are often represented as matrices; hence, tools from matrix analysis prove to be useful in addressing various problems, such as the detection of communities and anti-communities [39, 23, 45, 24, ... See full document
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On metrics and models for multiplex networks
... multi-layer networks feature nontrivial dependencies among links of different ...one layer can be reciprocated by opposite links in a different ...Trade Multiplex (WTM), representing the ... See full document
200
Crawling the Community Structure of Multiplex Networks
... multi-slice networks, by generalizing mod- ularity to consider node-tuple ...multi-dimensional networks by apply- ing multi-objective optimization to maximize ...a multiplex community as a ... See full document
8
Temporal correlations in social multiplex networks
... Fig. 3 (top row) shows the probability distribution of the multitasking index r(∆t), P (r), measured for each node of the SE contact and OS collaboration networks (see Supplementary Fig. 7 for the FF and ... See full document
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Effects of temporal correlations in social multiplex networks
... Figure 2 (top row) shows the probability distribution of the multitasking index, P(r), measured for each node of the SE contact and OSS collaboration networks (see Supplementary Fig. S3 for additional ... See full document
9
Community structure in time-dependent, multiscale, and multiplex networks
... multislice networks, which are combinations of individual networks coupled through links that connect each node in one network slice to itself in other ...encompassing networks that evolve ... See full document
5
Efficient Algorithms for Constructing Multiplex Networks Embedding
... starting node of this random walk is ...starting node on a citations ...co-authorship layer having ‘artId’ in set of terminating nodes are ... See full document
12
Communicability reveals a transition to coordinated behavior in multiplex networks
... a node i has a large communicability with the rest of the nodes in one layer α but very small in an- other layer β, the arithmetic mean is biased towards the highest ...a multiplex of 2 layers ... See full document
7
Learning embeddings for multiplex networks using triplet loss
... multilayer networks are ...entities. Multiplex network is a specific type of multilayer networks where each layer represents the different relationships of the same set of ...In ... See full document
16
An Eigenvector Centrality for Multiplex Networks with Data
... three centralities studied are coherent, in the sense that the most relevant nodes coincide in the three measures, maintaining the order of importance of the nodes in all ...classic eigenvector centrality ... See full document
24
A Centrality Measure for Urban Networks Based on the Eigenvector Centrality Concept.
... We will briefly comment on the usefulness of using such measures in urban networks analysis. The application of this measure of centrality in this city allows us to determine those areas of the network that ... See full document
16
Multiplex network motifs as building blocks of corporate networks
... Firstly, an ownership relation indicates that a particular firm owns part of another firm, in the remainder of this paper indicated by a directed link as shown in Fig. 1a. This type of connection between firms has been ... See full document
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A FUZZY APPROACH FOR REPRESENTATIVE NODE SELECTION IN CROSS LAYER TCP
... Ad-Hoc Networks (MANETs) are dynamic networks without fixed infrastructure because of their wireless nature, deployed as multi- hop packet ...to node mobility ...temporary networks without any ... See full document
15
An efficient method for link prediction in weighted multiplex networks
... A multiplex network is a network in which every pair of nodes can be connected by is a pair of nodes with different types of edges and can be visualized in the form of multiple ...Such networks contain ... See full document
17
Left Eigenvector of a Stochastic Matrix
... Keywords: Generic Stochastic Noncommutative Matrix, Commutative Matrix, Left Eigenvector Associated To The Eigenvalue 1, Skew Field, Automata.. Introduction It is well known that 1 is on[r] ... See full document
13
Node Localization in Wireless Sensor Networks
... localization node, and the network entity with known location is called localization base ...sensor networks need to be both memory and energy ...localization node and different localization base ... See full document
5
Centralities in simplicial complexes. Applications to protein interaction networks
... PPI networks display GEV, generalized Pareto, and gamma distributions, all of which are heavy-tailed (see ...PPI networks display generalized Pareto dis- tributions and for the others it was not possible to ... See full document
32
Computing a eigenvector with inverse iteration
... In the case of non-normal matrices, we show that the iterates converge asymptotically to an invariant subspace. However the residual norms may not converge. The growth in residual norms from one iteration to the next can ... See full document
38
A FUZZY APPROACH FOR REPRESENTATIVE NODE SELECTION IN CROSS LAYER TCP
... cross layer approach to mitigate the latency issues inherently present in the AODV at the same time maintaining the efficient use of battery ...each node as the decisive parameter whether or not to ... See full document
11
A FUZZY APPROACH FOR REPRESENTATIVE NODE SELECTION IN CROSS LAYER TCP
... Internet is largely used in government, military and commercial institutions. The new emerging protocols and new network architectures permit to share, consult, exchange and transfer information from any place all over ... See full document
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