ArticlePloS one2015
Spatial-Temporal Dynamics of High-Resolution Animal Networks: What Can We Learn from Domestic Animals?
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.
- Social network dynamics under experimental manipulations of predation risk and food abundance in wild rock hyraxes.The Journal of animal ecology · 2026Pooled it
- The effect of temporal resolution and contact duration on Real-Time location system-based contact networks for confined feedlot cattle.Preventive veterinary medicine · 2025Article
- Analysis of within-pen and between-pen fenceline temporal contact networks in confined feedlot cattle.Preventive veterinary medicine · 2024Article
- Familiarity, age, weaning and health status impact social proximity networks in dairy calves.Scientific reports · 2023Article
- Technological Tools for the Early Detection of Bovine Respiratory Disease in Farms.Animals : an open access journal from MDPI · 2022Review
- An Information-Theoretic Approach to Detect the Associations of GPS-Tracked Heifers in Pasture.Sensors (Basel, Switzerland) · 2021Article
- Combining epidemiological and ecological methods to quantify social effects onRoyal Society open science · 2021Article
- Spatial and temporal variation in proximity networks of commercial dairy cattle in Great Britain.Preventive veterinary medicine · 2021Article
- A Preliminary Investigation of Social Network Analysis Applied to Dairy Cow Behavior in Automatic Milking System Environments.Animals : an open access journal from MDPI · 2021Article
- Accounting for space and uncertainty in real-time location system-derived contact networks.Ecology and evolution · 2020Article
- Understanding Allogrooming Through a Dynamic Social Network Approach: An Example in a Group of Dairy Cows.Frontiers in veterinary science · 2020Article
- Using advanced technologies to quantify beef cattle behavior.Translational animal science · 2018Article
- Distinction and connection between contact network, social network, and disease transmission network.Preventive veterinary medicine · 2016Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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), triadic property (transitivity), and dyadic interactions (correlation coefficient from a quadratic assignment procedure) at hourly level. We demonstrated substantial spatial-temporal heterogeneity in these networks and potential link between indirect animal-environment contact and direct animal-animal contact. But such heterogeneity diminished if data were collected at lower spatial (aggregated at entire pen level) or temporal (aggregated at daily level) resolution. The network structure (described by the characteristics such as density, modularity, transitivity, etc.) also changed substantially at different time and locations. There were certain time (feeding) and location (hay) that the proximity network structures were more consistent based on the dyadic interaction analysis. These results reveal new insights for animal network structure and spatial-temporal dynamics, provide more accurate descriptions of animal social networks, and allow more accurate modeling of multiple (both direct and indirect) disease transmission pathways.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.