A framework to evaluate whether to pool or separate behaviors in a multilayer network  

作　　者：Annemarie VAN DER MAREL Sanjay PRASHER Chelsea CARMINITO Claire L.O'CONNELL Alexa PHILLIPS Bryan M.KLUEVER Elizabeth A.HOBSON 

机构地区：[1]Department of Biological Sciences,University of Cincinnati,Cincinnati,OH,45221,USA [2]United States Department of Agriculture,Wildlife Services,National Wildlife Research Center,Florida Field Station,Gainesville,FL,32641,USA

出　　处：《Current Zoology》2021年第1期101-111,共11页动物学报（英文版）

基　　金：This research was supported in part by the US Department of Agriculture,Animal and Plant Health Inspection Service,Wildlife Services,National Wildlife Research Center.

摘　　要：A multilayer network approach combines different network layers,which are connected by interlayer edges,to create a single mathematical object.These networks can contain a variety of information types and represent different aspects of a system.However,the process for selecting which information to include is not always straightforward.Using data on 2 agonistic behaviors in a captive population of monk parakeets(Myiopsitta monachus),we developed a framework for investigating how pooling or splitting behaviors at the scale of dyadic relationships(between 2 individuals)affects individual-and group-level social properties.We designed 2 reference models to test whether randomizing the number of interactions across behavior types results in similar structural patterns as the observed data.Although the behaviors were correlated,the first reference model suggests that the 2 behaviors convey different information about some social properties and should therefore not be pooled.However,once we controlled for data sparsity,we found that the observed measures corresponded with those from the second reference model.Hence,our initial result may have been due to the unequal frequencies of each behavior.Overall,our findings support pooling the 2 behaviors.Awareness of how selected measurements can be affected by data properties is warranted,but nonetheless our framework disentangles these efforts and as a result can be used for myriad types of behaviors and questions.This framework will help researchers make informed and data-driven decisions about which behaviors to pool or separate,prior to using the data in subsequent multilayer network analyses.

关 键 词：behavioral interactions monk parakeet Myiopsitta monachus network analysis social context social relationships 

分 类 号：Q95[生物学—动物学]