Spatial-Temporal Dynamics of High-Resolution Animal Networks: What Can We Learn from Domestic Animals?

@article{Chen2015SpatialTemporalDO,
  title={Spatial-Temporal Dynamics of High-Resolution Animal Networks: What Can We Learn from Domestic Animals?},
  author={Shi Chen and Amiyaal Ilany and Brad J. White and Michael W. Sanderson and Cristina Lanzas},
  journal={PLoS ONE},
  year={2015},
  volume={10}
}
Animal social network is the key to understand many ecological and epidemiological processes. We used real-time location system (RTLS) to accurately track cattle position, analyze their proximity networks, and tested the hypothesis of temporal stationarity and spatial homogeneity in these networks during different daily time periods and in different areas of the pen. The network structure was analyzed using global network characteristics (network density), subgroup clustering (modularity… 

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References

SHOWING 1-10 OF 50 REFERENCES
Highly dynamic animal contact network and implications on disease transmission
TLDR
This study used high temporal and spatial resolution animal position data to construct a high-resolution contact network relevant to infectious disease transmission and indicated that disease dynamics and individual contribution to new infections varied substantially among these four conditions under both parameter settings.
Modelling dendritic ecological networks in space: an integrated network perspective.
TLDR
This work proposes a conceptual taxonomy of network analysis methods that account for DEN characteristics to varying degrees and summarises the key innovations of a new family of spatial statistical models that describe spatial relationships in DENs.
The dynamics of animal social networks: analytical, conceptual, and theoretical advances
TLDR
The goal is to provide behavioral ecologists with a toolbox of current methods that can stimulate novel insights into the ecological influences and evolutionary pressures structuring networks and advance the understanding of the proximate and ultimate processes that drive animal sociality.
Socio-Spatial Relationships in Dairy Cows
Farm animals may serve as models for evaluating social networks in a controlled environment. We used an automated system to track, at fine temporal and spatial resolution (once per minute, +/- 50 cm)
Time-Ordered Networks Reveal Limitations to Information Flow in Ant Colonies
TLDR
A general framework for analyzing dynamic networks and a mathematical model that predicts how information flow scales with individual mobility and group size are developed, enabling a broader understanding of interaction network functioning across systems and scales.
Temporal-spatial heterogeneity in animal-environment contact: Implications for the exposure and transmission of pathogens
TLDR
Heterogeneity in environmental contact structure among cattle influences pathogen prevalence and exposure associated with each environment, and interventions that target environmental areas, even relatively small areas, with high bacterial concentration can result in effective mitigation of environmentally transmitted pathogens.
When individual behaviour matters: homogeneous and network models in epidemiology
TLDR
The homogeneous-mixing compartmental model is appropriate when host populations are nearly homogeneous, and can be modified effectively for a few classes of non-homogeneous networks, and in general, network models are more intuitive and accurate for predicting disease spread through heterogeneous host populations.
8. Comparing Networks across Space and Time, Size and Species
TLDR
The methodology proposed is generally applicable to the characterization and comparison of network-level social structures across multiple settings, such as different organizations, communities, or social groups, and the examination of sources of variability in network structure.
...
...