{"title":"随机因素导向模型既是一种方法,也是一种理论,必须经过理论检验","authors":"Philip Leifeld, S. Cranmer","doi":"10.1017/nws.2022.7","DOIUrl":null,"url":null,"abstract":"a set of theoretical differences between the models and a proposed for model comparison based on out-of-sample prediction. the theoretical comparison or simulation framework. be using the processes, the of the to the and the impossibility of model comparison using dyadic prediction is by evidence, the discussion: Does the contain theory, and how can its inherent be","PeriodicalId":51827,"journal":{"name":"Network Science","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"The stochastic actor-oriented model is a theory as much as it is a method and must be subject to theory tests\",\"authors\":\"Philip Leifeld, S. Cranmer\",\"doi\":\"10.1017/nws.2022.7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"a set of theoretical differences between the models and a proposed for model comparison based on out-of-sample prediction. the theoretical comparison or simulation framework. be using the processes, the of the to the and the impossibility of model comparison using dyadic prediction is by evidence, the discussion: Does the contain theory, and how can its inherent be\",\"PeriodicalId\":51827,\"journal\":{\"name\":\"Network Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2022-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Network Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1017/nws.2022.7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SOCIAL SCIENCES, INTERDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Network Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/nws.2022.7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL SCIENCES, INTERDISCIPLINARY","Score":null,"Total":0}
The stochastic actor-oriented model is a theory as much as it is a method and must be subject to theory tests
a set of theoretical differences between the models and a proposed for model comparison based on out-of-sample prediction. the theoretical comparison or simulation framework. be using the processes, the of the to the and the impossibility of model comparison using dyadic prediction is by evidence, the discussion: Does the contain theory, and how can its inherent be
期刊介绍:
Network Science is an important journal for an important discipline - one using the network paradigm, focusing on actors and relational linkages, to inform research, methodology, and applications from many fields across the natural, social, engineering and informational sciences. Given growing understanding of the interconnectedness and globalization of the world, network methods are an increasingly recognized way to research aspects of modern society along with the individuals, organizations, and other actors within it. The discipline is ready for a comprehensive journal, open to papers from all relevant areas. Network Science is a defining work, shaping this discipline. The journal welcomes contributions from researchers in all areas working on network theory, methods, and data.