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Data from: Nonlinear growth: an origin of hub organization in complex networks
负责人:
关键词:
complex networks;Network growth model;Hubs;Neural development;Rich-club organization
DOI:
doi:10.5061/dryad.6h8pm
摘要:
Many real-world networks contain highly connected nodes called hubs. Hubs are often crucial for network function and spreading dynamics. Howeve
Data from: Geographies of an online social network
负责人:
关键词:
towns;location;iWiW;online social network
DOI:
doi:10.5061/dryad.33ps4
摘要:
e the characteristics of the distance dependence in online social networks. In order to explore this issue the complete network of the former major Hungarian
network
负责人:
关键词:
Block Choleski decomposition;Block system;Helmert-blocking;Insertion of new observations;Large geodetic networks
DOI:
doi:10.5061/dryad.t23n3
摘要:
a division of the network into partial networks called blocks. This way, the global network adjustment can be done by manipulating these blocks. Here we sh
Data from: The robustness and restoration of a network of ecological networks
负责人:
关键词:
plant-pollinator network;seed feeder;species' interaction network;agroecology;flower visitor network;host-parasitoid network;farmland bird;ecological network
DOI:
doi:10.5061/dryad.3s36r118
摘要:
) have been studied separately. We sampled such multiple networks simultaneously in an agroecosystem. We show that the networks varied in their robustne
Data from: Components of phylogenetic signal in antagonistic and mutualistic networks
负责人:
关键词:
Community: structure Ecology: community Food web Phylogeny
DOI:
doi:10.5061/dryad.5m0m5
摘要:
nt in explaining network architecture. However, this previous work has focused on either antagonistic (i.e., predator-prey) or mutualistic networks and has used dif
Data from: Is the tree of life the best metaphor, model or heuristic for phylogenetics?
负责人:
关键词:
affinity network;genealogical network;Modeling;phylogenetic network
DOI:
doi:10.5061/dryad.qh53c
摘要:
to determine the tree-likeness of the metaphor/model/heuristic—some networks are more tree-like than are others. So, the network view does not deny
Data from: Can longitudinal generalized estimating equation models distinguish network influence and homophily? an agent-based modeling
负责人:
关键词:
GEE Models;Network analysis;Network Influence
DOI:
doi:10.5061/dryad.v3s0k
摘要:
in an agent-based model. Methods: We generated simulated cohorts with pre-specified network characteristics and attachments in both static and dynamic networks
Data from: The causes of epistasis in genetic networks
负责人:
关键词:
epistasis;Models\/Simulations
DOI:
doi:10.5061/dryad.7nf24
摘要:
to negative as the complexity of an organism increases, and it has been hypothesized that this change shall be a consequence of the underlying gene network
Data from: Resilient networks of ant-plant mutualists in Amazonian forest fragments
负责人:
Bruna, Emilio M.
关键词:
ant-plant interactions connectance habitat fragmentation mutualistic networks nestedness network structure quantitative metrics robustness
DOI:
doi:10.5061/dryad.pf2r0
摘要:
of fragmentation on mutualistic networks by calculating metrics of network structure for ant-plant networks in continuous Amazonian forests with those
Data from: How much information is needed to infer reticulate evolutionary histories?
负责人:
关键词:
reticulate evolution;phylogenetic network;network reconstruction;evolutionary tree
DOI:
doi:10.5061/dryad.f6n8s
摘要:
Phylogenetic networks are a generalization of evolutionary trees and are an important tool for analyzing reticulate evolutionary histories. Recent

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