Results 61 to 70 of about 9,577,753 (319)
Random walk centrality for temporal networks
Nodes can be ranked according to their relative importance within a network. Ranking algorithms based on random walks are particularly useful because they connect topological and diffusive properties of the network. Previous methods based on random walks,
Luis E C Rocha, Naoki Masuda
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Research on K-truss Community Search Algorithm for Temporal Networks
In applications such as communication network, collaboration network and social network analysis, time stamps are usually included on the edge. However, most previous studies focus on identifying communities in networks without time information.
XU Lantian, LI Ronghua, WANG Guoren, WANG Biao
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Discrete Temporal Models of Social Networks [PDF]
We propose a family of statistical models for social network evolution over time, which represents an extension of Exponential Random Graph Models (ERGMs).
Fu, Wenjie, Hanneke, Steve, Xing, Eric
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Navigating temporal networks [PDF]
Navigation on graphs is the problem how an agent walking on the graph can get from a source to a target with limited information about the graph. The information and the way to exploit it can vary. In this paper, we study navigation on temporal networks -- networks where we have explicit information about the time of the interaction, not only who ...
Lee, Sang Hoon, Holme, Petter
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Effects of memory on spreading processes in non-Markovian temporal networks
Many biological, social and man-made systems are better described in terms of temporal networks, i.e. networks whose links are only present at certain points in time, rather than by static ones. In particular, it has been found that non-Markovianity is a
Oliver E Williams +2 more
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Stock market as temporal network
Financial networks have become extremely useful in characterizing the structure of complex financial systems. Meanwhile, the time evolution property of the stock markets can be described by temporal networks.
Bao, Weiqi +5 more
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A Generalized Notion of Time for Modeling Temporal Networks [PDF]
Most approaches for modeling and analyzing temporal networks do not explicitly discuss the underlying notion of time. In this paper, we therefore introduce a generalized notion of time for temporal networks. Our approach also allows for considering non-
Kueffner, Konstantin, Strembeck, Mark
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Communicability in time-varying networks with memory
We develop a first-principles approach to define the communicability between two nodes in a time-varying network with memory. The formulation is based on the time-fractional Schrödinger equation, where the fractional (of Caputo type) derivative accounts ...
Ernesto Estrada
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Distinct patterns of temporal and directional connectivity among intrinsic networks in the human brain [PDF]
To determine the spatiotemporal relationships among intrinsic networks of the human brain, we recruited seven neurosurgical patients (four males and three females) who were implanted with intracranial depth electrodes.
Bickel, Stephan +9 more
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A Unified Theoretical and Deep Learning Framework for Temporal Link Prediction in Dynamic Networks
Temporal networks extend complex networks by explicitly incorporating the time dimension into the analysis of entities and their interactions. With the rapid growth of large-scale social and information networks, modeling time-evolving relationships has ...
Jo Cheriyan +2 more
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