Structure of the social network and its influence on transmission dynamics in a honeybee colony

By D. Naug. Behavioral Ecology and Sociobiology, 2008

139 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Genetics, Insect Science

View Paper: https://www.semanticscholar.org/paper/efc010c77570baa4c21b19c5f1640bd1661b73f2

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In Ecology, Evolution, Behavior and Systematics

In Genetics

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Citations in the corpus

Female bisexual kinship ties maintain social cohesion in a dolphin network (2010, background): “transfer through the population, while tighter clustering and assortativemixingof individuals restricts diffusion to smaller subgroups in the network (e.g. Guimarães et al. 2007; Naug 2008).”
The dynamics of animal social networks: analytical, conceptual, and theoretical advances (2014, unknown): “2004; Naug 2008); social interactions early in life predict later social status (McDonald 2007); and environmental changes may determine emergent properties of animal interactions such as hierarchical group structuring (Wittemyer et al.”
Structure and resilience of the social network in an insect colony as a function of colony size (2009, background): “However, empirical data that explicitly describe the interaction network in a social insect colony are only recently beginning to come out (Naug 2008).”
Environment modulates population social structure: Experimental evidence from replicated social networks of wild lizards (2016, background): “However, in less gregarious species, it could also result in increased parasite transmission (Cote & Poulin, 1995; Leu, Kappeler, et al., 2010; Naug, 2008) and greater conflict and competition for local resources with negative fitness consequences.”
The keystone individual concept: an ecological and evolutionary overview (2014, background): “Due to high contact rates with other group members, highly connected individuals can increase the flow of information and/or resources among individuals, but may also pose a serious risk for their group, community or population if they contract an infectious disease (Naug, 2008).”
Automatic methods for long-term tracking and the detection and decoding of communication dances in honeybees (2015, background): “Tracking large numbers of individuals over long periods of time might reveal detailed characteristics of the network dynamics of disease spread (Naug, 2008) and collective anti-pathogen defenses (Theis et al., 2015).”
Animal social networks: an introduction (2009, result): “By contrast, network studies of invertebrates, of which there are now several (Fewell 2003; Naug 2008, 2009), tend to proceed the other way round.”
Protecting an ecosystem service: approaches to understanding and mitigating threats to wild insect pollinators (2016, background): “909 Unlike honeybees where close monitoring of colonies has provided detailed insights into 910 social colony dynamics (Becher et al., 2013, 2014; Khoury et al., 2011, 2013; Naug, 2008), 911 there is a comparative lack of data on the levels of successful hatching, rearing and adult 912”