The Hidden Flow Structure and Metric Space of Network Embedding Algorithms Based on Random Walks

scientific article published on 13 October 2017

The Hidden Flow Structure and Metric Space of Network Embedding Algorithms Based on Random Walks is …
instance of (P31):
scholarly articleQ13442814

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P818arXiv ID1704.05743
P356DOI10.1038/S41598-017-12586-Y
P932PMC publication ID5640610
P698PubMed publication ID29030547

P2093author name stringLi Gong
Jiang Zhang
Weiwei Gu
Xiaodan Lou
P2860cites workUncovering the hidden geometry behind metabolic networks.Q51454703
Diameter of the World-Wide WebQ56029473
Power and Centrality: A Family of MeasuresQ56486268
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A Geometric Representation of Collective Attention FlowsQ28608170
The hidden geometry of complex, network-driven contagion phenomena.Q30356804
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Navigation in a small worldQ33916472
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The Atlas of Chinese World Wide Web Ecosystem Shaped by the Collective Attention FlowsQ36182109
Scaling identity connects human mobility and social interactionsQ37065121
The hidden hyperbolic geometry of international trade: World Trade Atlas 1870-2013.Q37260880
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A global geometric framework for nonlinear dimensionality reductionQ47014659
Fitting a geometric graph to a protein-protein interaction networkQ48354128
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue1
P407language of work or nameEnglishQ1860
P304page(s)13114
P577publication date2017-10-13
P1433published inScientific ReportsQ2261792
P1476titleThe Hidden Flow Structure and Metric Space of Network Embedding Algorithms Based on Random Walks
P478volume7

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cites work (P2860)
Q100526112Reducing the complexity of financial networks using network embeddings
Q55407877Relation extraction for biological pathway construction using node2vec.

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