Link prediction for tree-like networks.
Sign Up to like & getrecommendations! Published in 2019 at "Chaos"
DOI: 10.1063/1.5107440
Abstract: Link prediction is the problem of predicting the location of either unknown or fake links from uncertain structural information of a network. Link prediction algorithms are useful in gaining insight into different network structures from… read more here.
Keywords: prediction tree; network; preferential attachment; link prediction ... See more keywords
Asymptotic degree distribution in preferential attachment graph models with multiple type edges
Sign Up to like & getrecommendations! Published in 2019 at "Stochastic Models"
DOI: 10.1080/15326349.2019.1624574
Abstract: Abstract We deal with a general preferential attachment graph model with multiple type edges. The types are chosen randomly, in a way that depends on the evolution of the graph. In the N-type case, we… read more here.
Keywords: asymptotic degree; preferential attachment; graph; type edges ... See more keywords
Time-invariant degree growth in preferential attachment network models
Sign Up to like & getrecommendations! Published in 2020 at "Physical review. E"
DOI: 10.1103/physreve.101.022309
Abstract: Preferential attachment drives the evolution of many complex networks. Its analytical studies mostly consider the simplest case of a network that grows uniformly in time despite the accelerating growth of many real networks. Motivated by… read more here.
Keywords: degree growth; time; growth; preferential attachment ... See more keywords
A Hypergraph Approach for Estimating Growth Mechanisms of Complex Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3143612
Abstract: Temporal datasets that describe complex interactions between individuals over time are increasingly common in various domains. Conventional graph representations of such datasets may lead to information loss since higher-order relationships between more than two individuals… read more here.
Keywords: growth; order; complex networks; preferential attachment ... See more keywords
Estimating the Topology of Preferential Attachment Graphs Under Partial Observability
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2022.3211078
Abstract: This work addresses the problem of learning the topology of a network from the signals emitted by the network nodes. These signals are generated over time through a linear diffusion process, where neighboring nodes exchange… read more here.
Keywords: topology; network; partial observability; preferential attachment ... See more keywords
Power Law in Deep Neural Networks: Sparse Network Generation and Continual Learning With Preferential Attachment.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3217403
Abstract: Training deep neural networks (DNNs) typically requires massive computational power. Existing DNNs exhibit low time and storage efficiency due to the high degree of redundancy. In contrast to most existing DNNs, biological and social networks… read more here.
Keywords: preferential attachment; power law; power; dnns ... See more keywords
A System-Independent Derivation of Preferential Attachment from the Principle of Least Effort
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25020305
Abstract: Preferential attachment (PA) is a widely observed behavior in many living systems and has been used in modeling many networks. The aim of this work is to show that the mechanism of PA is a… read more here.
Keywords: preferential attachment; least effort; system independent; principle least ... See more keywords