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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:
ough nonlinear network expansion can serve as a benchmark model for studying the development of many real-world networks.
Data from: Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based computing
负责人:
关键词:
Cognitive Agent-based Computing;Multiagent System;Agent-Based Modeling;Green Computing;Computer applications;Carbon Footprint;Software Tools
DOI:
doi:10.5061/dryad.mq793
摘要:
e of Agent-based Modeling as part of the Cognitive Agent-based Computing (CABC) framework to model a Complex communication network problem. Method: We use Exploratory
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 approach
负责人:
关键词:
GEE Models;Network analysis;Network Influence
DOI:
doi:10.5061/dryad.v3s0k
摘要:
, we find that the GEE models have excellent sensitivity and reasonable specificity for determining the presence or absence of network influence, but littl
Data from: Mechanisms of reciprocity and diversity in social networks: a modelling and comparative approach
负责人:
Puga-Gonzalez, Ivan
关键词:
grooming macaques social network
DOI:
doi:10.5061/dryad.6m220kd
摘要:
’, or a combination of both mechanisms. Here we use these three models to assess their relative fit with empirical data on reciprocation and social network structure ac
Data from: Matching-centrality decomposition and the forecasting of new links in networks
负责人:
关键词:
ecological networks;metabolic networks;social networks;complex networks;missing links
DOI:
doi:10.5061/dryad.5fn84
摘要:
and versatile tool to explore how node characteristics ex- plain network architecture. Finally, we demonstrate the efficiency and flexibility of the model
Data from: Trait-based modeling of multi-host pathogen transmission: plant-pollinator networks
负责人:
关键词:
Modeling: epidemiological;Theory;Interactions: plant\/insect;Modeling: matrix;Epidemiology;Bees;Interactions: host\/pathogen
DOI:
doi:10.5061/dryad.730n045
摘要:
ator networks with continuous trait distributions. We model trait-dependent contact rates in two common scenarios: nested networks, and speciali
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:
communication networks. For a further analysis we introduced a coarser granularity: We identified the settlements with the nodes of a network and assigned two kinds
Data from: Statistical inference of allopolyploid species networks in the presence of incomplete lineage sorting
负责人:
关键词:
Pachycladon;allopolyploid;Bayesian;phylogenetics;Silene;hybridization;Brassicaceae;Caryophyllaceae;network
DOI:
doi:10.5061/dryad.nn3j4
摘要:
need to be estimated. Both models are implemented in the BEAST framework. Simulations show that both models are useful and that AlloppNET is mo
Data from: Stability of spontaneous, correlated activity in mouse auditory cortex
负责人:
关键词:
cortical networks;dynamics;two-photon imaging;auditory cortex;Mus musculus;network
DOI:
doi:10.5061/dryad.85387h3
摘要:
Neural systems can be modeled as complex networks in which neural elements are represented as nodes linked to one another through structural

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