Combining the strengths of agent-based modelling and network statistics to understand animal movement and interactions with resources: example from within-patch foraging decisions of bumblebees
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DOI: 10.1016/j.ecolmodel.2020.109119
Abstract: Abstract Understanding interactions between individual animals and their resources is fundamental to ecology. Agent-Based Models (ABMs) offer an opportunity to study how individuals move given the spatial distribution and characteristics of their resources. When contrasted… read more here.
Keywords: agent; foraging; movement; network ... See more keywords
Estimation and correction of bias in network simulations based on respondent-driven sampling data
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DOI: 10.1038/s41598-020-63269-0
Abstract: Respondent-driven sampling (RDS) is widely used for collecting data on hard-to-reach populations, including information about the structure of the networks connecting the individuals. Characterizing network features can be important for designing and evaluating health programs,… read more here.
Keywords: driven sampling; mean degree; estimation correction; network ... See more keywords