期刊
CURRENT ZOOLOGY
卷 61, 期 1, 页码 98-106出版社
OXFORD UNIV PRESS
DOI: 10.1093/czoolo/61.1.98
关键词
Agent based model; Collective behavior; Complex system; Self organization; Personality; Temperament
类别
资金
- NIH Center of Excellence Grant [GM085764]
- Div Of Biological Infrastructure
- Direct For Biological Sciences [1300426] Funding Source: National Science Foundation
The function of a network is affected by its structure. For example, the presence of highly interactive individuals, or hubs, influences the extent and rate of information spread across a network. In a network of interactions, the duration over which individual variation in interactions persists may affect how the network operates. Individuals may persist in their behavior over time and across situations, often referred to as personality. Colonies of social insects are an example of a biological system in which the structure of the coordinated networks of interacting workers may greatly influence information flow within the colony, and therefore its collective behavior. Here I investigate the effects of persistence in walking patterns on interaction networks using computer simulations that are parameterized using observed behavior of harvester ants. I examine how the duration of persistence in spatial behavior influences network structure. Furthermore, I explore how spatial features of the environment affect the relationship between persistent behavior and network structure. I show that as persistence increases, the skewness of the weighted degree distribution of the interaction network increases. However, this relationship holds only when ants are confined in a space with boundaries, but not when physical barriers are absent. These findings suggest that the influence of animal personalities on network structure and function depends on the environment in which the animals reside
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