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Data from: Nonlinear growth: an origin of hub organization in complex networks
- 负责人:
- 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.
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Modeling the internet of things, self-organizing and other complex adaptive communication networks: a cognitive agent-based computing
- 负责人:
- 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
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Is the tree of life the best metaphor, model or heuristic for phylogenetics?
- 负责人:
- 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
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Can longitudinal generalized estimating equation models distinguish network influence and homophily? an agent-based modeling approach
- 负责人:
- 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
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Data from: Mechanisms of reciprocity and diversity in social networks: a modelling and comparative approach
- 负责人:
- Puga-Gonzalez, Ivan
- 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
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Data from: Matching-centrality decomposition and the forecasting of new links in networks
- 负责人:
- 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
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Data from: Trait-based modeling of multi-host pathogen transmission: plant-pollinator networks
- 负责人:
- 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
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Data from: Geographies of an online social network
- 负责人:
- 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
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Statistical inference of allopolyploid species networks in the presence of incomplete lineage sorting
- 负责人:
- 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
![](http://agri.nais.net.cn/resources/front/images/source_91.jpg)
Data from: Stability of spontaneous, correlated activity in mouse auditory cortex
- 负责人:
- 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